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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. (2023) <doi:10.18637/jss.v106.i03>).

Version:1.0.1
Imports:gglasso,MASS,Matrix,fastcluster,FactoMineR,parallelDist
Published:2025-07-23
DOI:10.32614/CRAN.package.MLGL
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
Citation:MLGL citation info
Materials:NEWS
CRAN checks:MLGL results

Documentation:

Reference manual:MLGL.html ,MLGL.pdf

Downloads:

Package source: MLGL_1.0.1.tar.gz
Windows binaries: r-devel:MLGL_1.0.1.zip, r-release:MLGL_1.0.1.zip, r-oldrel:MLGL_1.0.1.zip
macOS binaries: r-release (arm64):MLGL_1.0.1.tgz, r-oldrel (arm64):MLGL_1.0.1.tgz, r-release (x86_64):MLGL_1.0.1.tgz, r-oldrel (x86_64):MLGL_1.0.1.tgz
Old sources: MLGL archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=MLGLto link to this page.


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