glmmLasso: Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation

A variable selection approach for generalized linear mixed models by L1-penalized estimation is provided.

Version: 1.3.4
Imports: minqa
Published: 2015-04-30
Author: Andreas Groll
Maintainer: Andreas Groll <groll at mathematik.uni-muenchen.de>
License: GPL-2
NeedsCompilation: no
CRAN checks: glmmLasso results

Downloads:

Reference manual: glmmLasso.pdf
Package source: glmmLasso_1.3.4.tar.gz
Windows binaries: r-devel: glmmLasso_1.3.4.zip, r-release: glmmLasso_1.3.4.zip, r-oldrel: glmmLasso_1.3.4.zip
OS X Snow Leopard binaries: r-oldrel: glmmLasso_1.3.4.tgz
OS X Mavericks binaries: r-release: glmmLasso_1.3.4.tgz
Old sources: glmmLasso archive