PMA: Penalized Multivariate Analysis

Performs Penalized Multivariate Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis, described in Witten, Tibshirani and Hastie (2009) <doi:10.1093/biostatistics/kxp008> and Witten and Tibshirani (2009) Extensions of sparse canonical correlation analysis, with applications to genomic data <doi:10.2202/1544-6115.1470>.

Version: 1.2.1
Depends: R (≥ 2.10)
Published: 2020-02-03
Author: Daniela Witten and Rob Tibshirani
Maintainer: Rob Tibshirani <tibs at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: PMA results


Reference manual: PMA.pdf
Package source: PMA_1.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: PMA_1.2.1.tgz, r-oldrel: PMA_1.2.1.tgz
Old sources: PMA archive

Reverse dependencies:

Reverse depends: CVR, LPGraph
Reverse imports: DCA, miRSM, omicRexposome, RFCCA, SmCCNet
Reverse suggests: conos, epca, nscancor


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