PMA: Penalized Multivariate Analysis

Performs Penalized Multivariate Analysis: a penalized matrix decomposition, sparse principal components analysis, and sparse canonical correlation analysis, described in the following papers: (1) Witten, Tibshirani and Hastie (2009) A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis. Biostatistics 10(3):515-534. (2) Witten and Tibshirani (2009) Extensions of sparse canonical correlation analysis, with applications to genomic data. Statistical Applications in Genetics and Molecular Biology 8(1): Article 28.

Version: 1.1
Depends: R (≥ 2.10)
Imports: impute
Published: 2019-02-05
Author: Daniela Witten and Rob Tibshirani and Sam Gross and Balasubramanian Narasimhan
Maintainer: ORPHANED
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: PMA results

Downloads:

Reference manual: PMA.pdf
Package source: PMA_1.1.tar.gz
Windows binaries: r-devel: PMA_1.1.zip, r-devel-gcc8: PMA_1.1.zip, r-release: PMA_1.1.zip, r-oldrel: PMA_1.1.zip
OS X binaries: r-release: PMA_1.1.tgz, r-oldrel: PMA_1.1.tgz
Old sources: PMA archive

Reverse dependencies:

Reverse depends: CVR, LPGraph
Reverse imports: DCA, SmCCNet
Reverse suggests: nscancor

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PMA to link to this page.