Regularized PQL for Joint Selection in GLMMs

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Documentation for package ‘rpql’ version 0.8

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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.