Spatial Bayesian Methods for Task Functional MRI Studies


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Documentation for package ‘BayesfMRI’ version 0.10.1

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BayesfMRI-package BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies
.findTheta Perform the EM algorithm of the Bayesian GLM fitting
.getSqrtInvCpp Get the prewhitening matrix for a single data location
.initialKP Find the initial values of kappa2 and phi
.logDetQt Find the log of the determinant of Q_tilde
activations Identify field activations
aic_Param aic
ar_order_Param ar_order
ar_smooth_Param ar_smooth
BayesfMRI BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies
BayesGLM BayesGLM for CIFTI
BayesGLM2 Group-level Bayesian GLM
Bayes_Param Bayes
BOLD_Param_BayesGLM BOLD
brainstructures_Param_BayesGLM brainstructures
buffer_Param buffer
Connectome_Workbench_Description Connectome Workbench
contrasts_Param contrasts
design_Param_BayesGLM design
do_QC Mask out invalid data
emTol_Param emTol
EM_Param EM
faces_Param faces
field_names_Param field_names
fit_bayesglm fit_bayesglm
hpf_Param_BayesGLM hpf
id_activations Identify field activations
INLA_Description INLA
INLA_Latent_Fields_Limit_Description INLA Latent Fields
make_mesh Make Mesh
mask_Param_vertices mask: vertices
max_threads_Param max_threads
mean_var_Tol_Param mean and variance tolerance
mesh_Param_either mesh: either
mesh_Param_inla mesh: INLA only
nbhd_order_Param nbhd_order
nuisance_Param_BayesGLM nuisance
n_threads_Param n_threads
plot.act_BGLM S3 method: use 'view_xifti' to plot a '"act_BGLM"' object
plot.BGLM S3 method: use 'view_xifti' to plot a '"BGLM"' object
plot.BGLM2 S3 method: use 'view_xifti' to plot a '"BGLM2"' object
plot.prev_BGLM S3 method: use 'view_xifti' to plot a '"prev_BGLM"' object
prevalence Activations prevalence.
print.act_BGLM Summarize a '"act_BGLM"' object
print.act_fit_bglm Summarize a '"act_fit_bglm"' object
print.BGLM Summarize a '"BGLM"' object
print.BGLM2 Summarize a '"BGLM2"' object
print.fit_bglm Summarize a '"fit_bglm"' object
print.fit_bglm2 Summarize a '"fit_bglm2"' object
print.prev_BGLM Summarize a '"prev_BGLM"' object
print.prev_fit_bglm Summarize a '"prev_fit_bglm"' object
print.summary.act_BGLM Summarize a '"act_BGLM"' object
print.summary.act_fit_bglm Summarize a '"act_fit_bglm"' object
print.summary.BGLM Summarize a '"BGLM"' object
print.summary.BGLM2 Summarize a '"BGLM2"' object
print.summary.fit_bglm Summarize a '"fit_bglm"' object
print.summary.fit_bglm2 Summarize a '"fit_bglm2"' object
print.summary.prev_BGLM Summarize a '"prev_BGLM"' object
print.summary.prev_fit_bglm Summarize a '"prev_fit_bglm"' object
resamp_res_Param_BayesGLM resamp_res
return_INLA_Param return_INLA
scale_BOLD Scale the BOLD timeseries
scale_BOLD_Param scale_BOLD
scrub_Param_BayesGLM scrub
seed_Param seed
session_names_Param session_names
summary.act_BGLM Summarize a '"act_BGLM"' object
summary.act_fit_bglm Summarize a '"act_fit_bglm"' object
summary.BGLM Summarize a '"BGLM"' object
summary.BGLM2 Summarize a '"BGLM2"' object
summary.fit_bglm Summarize a '"fit_bglm"' object
summary.fit_bglm2 Summarize a '"fit_bglm2"' object
summary.prev_BGLM Summarize a '"prev_BGLM"' object
summary.prev_fit_bglm Summarize a '"prev_fit_bglm"' object
surfaces_Param_BayesGLM surfaces
trim_INLA_Param trim_INLA
TR_Param_BayesGLM TR
verbose_Param verbose
vertex_areas Surface area of each vertex
vertices_Param vertices
vol2spde Construct a triangular mesh from a 3D volumetric mask