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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 augmented 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.
Package details 


Author  Francis K.C. Hui <francis.hui@gmail.com>, with contributions from Samuel Mueller <samuel.mueller@sydney.edu.au> and A.H. Welsh <Alan.Welsh@anu.edu.au> 
Maintainer  Francis Hui <fhui28@gmail.com> 
License  GPL2 
Version  0.8 
Package repository  View on CRAN 
Installation 
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