MLGL: Multi-Layer Group-Lasso

It implements a new procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high dimensional data (Grimonprez et al. (2018) <https://hal.inria.fr/hal-01857242>).

Version: 0.6.5
Imports: gglasso, MASS, Matrix, fastcluster, FactoMineR, parallelDist
Published: 2020-11-28
Author: Quentin Grimonprez [aut, cre], Samuel Blanck [ctb], Alain Celisse [ths], Guillemette Marot [ths], Yi Yang [ctb], Hui Zou [ctb]
Maintainer: Quentin Grimonprez <quentingrim at yahoo.fr>
BugReports: https://github.com/modal-inria/MLGL/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: Inria
NeedsCompilation: no
Materials: NEWS
CRAN checks: MLGL results

Downloads:

Reference manual: MLGL.pdf
Package source: MLGL_0.6.5.tar.gz
Windows binaries: r-devel: MLGL_0.6.5.zip, r-release: MLGL_0.6.5.zip, r-oldrel: MLGL_0.6.1.zip
macOS binaries: r-release: MLGL_0.6.5.tgz, r-oldrel: MLGL_0.6.5.tgz
Old sources: MLGL archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MLGL to link to this page.