sgPLS: Sparse Group Partial Least Square Methods

Regularized version of partial least square approaches providing sparse, group, and sparse group versions of partial least square regression models (Liquet, B., Lafaye de Micheaux, P., Hejblum B., Thiebaut, R. (2016) <doi:10.1093/bioinformatics/btv535>). Version of PLS Discriminant analysis is also provided.

Version:	1.7
Depends:	mixOmics, mvtnorm
Published:	2017-08-29
Author:	Benoit Liquet and Pierre Lafaye de Micheaux and Camilo Broc
Maintainer:	Benoit Liquet <b.liquet at uq.edu.au>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation:	no
CRAN checks:	sgPLS results

Documentation:

Reference manual:

sgPLS.pdf

Downloads:

Package source:	sgPLS_1.7.tar.gz
Windows binaries:	r-devel: sgPLS_1.7.zip, r-release: sgPLS_1.7.zip, r-oldrel: sgPLS_1.7.zip
macOS binaries:	r-release (arm64): sgPLS_1.7.tgz, r-oldrel (arm64): sgPLS_1.7.tgz, r-release (x86_64): sgPLS_1.7.tgz, r-oldrel (x86_64): sgPLS_1.7.tgz
Old sources:	sgPLS archive

Reverse dependencies:

Reverse suggests:

sharp

Linking:

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