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:	0.6.7
Imports:	gglasso, MASS, Matrix, fastcluster, FactoMineR, parallelDist
Published:	2022-05-25
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

Documentation:

Reference manual:

MLGL.pdf

Downloads:

Package source:	MLGL_0.6.7.tar.gz
Windows binaries:	r-devel: MLGL_0.6.7.zip, r-release: MLGL_0.6.7.zip, r-oldrel: MLGL_0.6.7.zip
macOS binaries:	r-release (arm64): MLGL_0.6.7.tgz, r-oldrel (arm64): MLGL_0.6.7.tgz, r-release (x86_64): MLGL_0.6.7.tgz, r-oldrel (x86_64): MLGL_0.6.7.tgz
Old sources:	MLGL archive

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