Regularized PQL for Joint Selection in GLMMs

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Documentation for package ‘rpql’ version 0.8.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

rpql-package	Joint effects selection in GLMMs using regularized PQL
build.start.fit	Constructs a start fit for use in the 'rpql' function
calc.marglogL	Calculate the marginal log-likelihood for a GLMM fitted using 'rpql'
gendat.glmm	Simulates datasets based on a Generalized Linear Mixed Model (GLMM).
lseq	Generates a sequence of tuning parameters on the log scale
nb2	A negative binomial family
print.rpql	Joint effects selection in GLMMs using regularized PQL.
print.summary.rpql	Summary of GLMM fitted using regularized PQL.
rpql	Joint effects selection in GLMMs using regularized PQL.
rpql.default	Joint effects selection in GLMMs using regularized PQL.
rpqlseq	Wrapper function for joint effects selection in GLMMs using regularized PQL.
summary.rpql	Summary of GLMM fitted using regularized PQL.