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: 1.4.4
Imports: minqa, Matrix
Published: 2016-05-27
Author: Andreas Groll
Maintainer: Andreas Groll <groll at mathematik.uni-muenchen.de>
BugReports: NA
License: GPL-2
URL: NA
NeedsCompilation: no
CRAN checks: glmmLasso results

Downloads:

Reference manual: glmmLasso.pdf
Package source: glmmLasso_1.4.4.tar.gz
Windows binaries: r-devel: glmmLasso_1.4.4.zip, r-release: glmmLasso_1.4.4.zip, r-oldrel: glmmLasso_1.4.4.zip
OS X Mavericks binaries: r-release: glmmLasso_1.4.4.tgz, r-oldrel: glmmLasso_1.4.4.tgz
Old sources: glmmLasso archive