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: 1.0.11
Depends: R (≥ 2.10), impute
Published: 2018-04-20
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


Reference manual: PMA.pdf
Package source: PMA_1.0.11.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: PMA_1.0.11.tgz, r-oldrel: PMA_1.0.11.tgz
Old sources: PMA archive

Reverse dependencies:

Reverse depends: CVR, LPGraph
Reverse imports: DCA, smart
Reverse suggests: irlba, nscancor


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