Analyzing RNA Sequencing Count Tables Using Quasi-Likelihood

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Documentation for package ‘QuasiSeq’ version 1.0-11-0

• DESCRIPTION file.

Help Pages

coef.glm	Coefficient and Bias From Generalized Linear Model Fit
fbrNBglm	Firth-Type Bias-Reduced Negative Binomial Log-Linear Model
fbrNBglm.control	Firth-Type Bias-Reduced Negative Binomial Log-Linear Model
fbrNBglm.fit	Firth-Type Bias-Reduced Negative Binomial Log-Linear Model
glmSolve	Generalized linear model (glm) solvers
glmsolve	Generalized linear model (glm) solvers
glmSolvers	Generalized linear model (glm) solvers
mockRNASeqData	A Simulated RNA-Seq Data Set
NBDev	Fit a negative binomial GLM for given design matrix
negbin	Negative Binomial Family
nlSolve	Nonlinear equation solvers
nlsolve	Nonlinear equation solvers
nlSolvers	Nonlinear equation solvers
PoisDev	Compute Poisson deviances (up to a constant) for given design matrix
QL.fit	Fit quasi-likelihood models to matrix of RNA-seq expression count data
QL.results	Obtain p-values and q-values using results from 'QL.fit'