R: Regularized PQL for Joint Selection in GLMMs

# Regularized PQL for Joint Selection in GLMMs

## Documentation for package ‘rpql’ version 0.8.3

- DESCRIPTION file

## 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.