plsgenomics: PLS Analyses for Genomics

Routines for PLS-based genomic analyses, implementing PLS methods for classification with microarray data and prediction of transcription factor activities from combined ChIP-chip analysis. The >=1.2-1 versions include two new classification methods for microarray data: GSIM and Ridge PLS. The >=1.3 versions includes a new classification method combining variable selection and compression in logistic regression context: logit-SPLS; and an adaptive version of the sparse PLS.

Version:	1.5-3
Depends:	R (≥ 3.0)
Imports:	MASS, boot, parallel, reshape2, plyr, fields, RhpcBLASctl
Published:	2024-03-28
DOI:	10.32614/CRAN.package.plsgenomics
Author:	Anne-Laure Boulesteix, Ghislain Durif, Sophie Lambert-Lacroix, Julie Peyre, and Korbinian Strimmer.
Maintainer:	Ghislain Durif <gd.dev at libertymail.net>
BugReports:	https://github.com/gdurif/plsgenomics/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/gdurif/plsgenomics
NeedsCompilation:	no
Materials:	README
CRAN checks:	plsgenomics results

Documentation:

Reference manual:

plsgenomics.pdf

Downloads:

Package source:	plsgenomics_1.5-3.tar.gz
Windows binaries:	r-devel: plsgenomics_1.5-3.zip, r-release: plsgenomics_1.5-3.zip, r-oldrel: plsgenomics_1.5-3.zip
macOS binaries:	r-release (arm64): plsgenomics_1.5-3.tgz, r-oldrel (arm64): plsgenomics_1.5-3.tgz, r-release (x86_64): plsgenomics_1.5-3.tgz, r-oldrel (x86_64): plsgenomics_1.5-3.tgz
Old sources:	plsgenomics archive

Reverse dependencies:

Reverse imports:	MAIT, MultiGroupO
Reverse suggests:	ClusterSignificance, CMA

Linking:

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