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: RIRLS-SPLS; and an adaptive version of the sparse PLS.

Version: 1.3-1
Depends: R (≥ 3.0), MASS, boot, parallel
Published: 2015-05-11
Author: Anne-Laure Boulesteix, Ghislain Durif, Sophie Lambert-Lacroix, Julie Peyre, and Korbinian Strimmer.
Maintainer: Ghislain Durif <ghislain.durif at>
BugReports: NA
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
In views: Multivariate
CRAN checks: plsgenomics results


Reference manual: plsgenomics.pdf
Package source: plsgenomics_1.3-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: plsgenomics_1.3-1.tgz, r-oldrel: plsgenomics_1.3-1.tgz
Old sources: plsgenomics archive

Reverse dependencies:

Reverse depends: KODAMA, MAclinical
Reverse suggests: musicNMR, PLSbiplot1