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: 1.5.1
Imports: minqa, Matrix
Published: 2017-05-06
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_1.5.1.tar.gz
Windows binaries: r-devel: glmmLasso_1.5.1.zip, r-release: glmmLasso_1.5.1.zip, r-oldrel: glmmLasso_1.5.1.zip
OS X El Capitan binaries: r-release: glmmLasso_1.5.1.tgz
OS X Mavericks binaries: r-oldrel: glmmLasso_1.5.1.tgz
Old sources: glmmLasso archive

Reverse dependencies:

Reverse imports: lmmen

Linking:

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