Analyzing RNA Sequencing Count Tables Using Quasi-Likelihood

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Documentation for package ‘QuasiSeq’ version 1.0-10-2

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'