Performs joint selection in Generalized Linear Mixed Models (GLMMs) using penalized likelihood methods. Specifically, the Penalized QuasiLikelihood (PQL) is used as a loss function, and penalties are then "added on" to perform simultaneous fixed and random effects selection. Regularized PQL avoids the need for integration (or approximations such as the Laplace's method) during the estimation process, and so the full solution path for model selection can be constructed relatively quickly.
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Author  Francis K.C. Hui, Samuel Mueller, A.H. Welsh 
Date of publication  20161007 09:23:08 
Maintainer  Francis Hui <fhui28@gmail.com> 
License  GPL2 
Version  0.5 
Package repository  View on CRAN 
Installation  Install the latest version of this package by entering the following in R:

Package overview 
Functions  

build.start.fit  Man page Source code 
build.start.fit.rpql  Source code 
calc.marglogL  Man page Source code 
gendat.glmm  Man page Source code 
l2.norm  Source code 
lseq  Man page Source code 
mcp.deriv  Source code 
nb2  Man page Source code 
print.rpql  Man page Source code 
print.summary.rpql  Man page Source code 
rpql  Man page Source code 
rpqlpackage  Man page 
rpql.default  Man page Source code 
rpqlseq  Man page Source code 
scad.deriv  Source code 
start.fixed  Source code 
summary.rpql  Man page Source code 
Files  

NAMESPACE
 
R
 
R/rpqlmain.R  
R/auxilaryfunctions.R  
MD5
 
DESCRIPTION
 
man
 
man/lseq.Rd  
man/rpqlpackage.Rd  
man/nb2.Rd  
man/build.start.fit.Rd  
man/rpqlseq.Rd  
man/calc.marglogL.Rd  
man/rpql.Rd  
man/gendat.glmm.Rd  
man/summary.rpql.Rd 
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