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: 1.2-3
Depends: R (≥ 2.10)
Imports: utils
Published: 2024-02-06
Author: Daniela Witten [aut], Rob Tibshirani [aut], Sam Gross [aut], Balasubramanian Narasimhan [cre, aut]
Maintainer: Balasubramanian Narasimhan <naras at stanford.edu>
BugReports: https://github.com/bnaras/PMA/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/bnaras/PMA
NeedsCompilation: yes
Materials: README NEWS
In views: Omics
CRAN checks: PMA results

Documentation:

Reference manual: PMA.pdf

Downloads:

Package source: PMA_1.2-3.tar.gz
Windows binaries: r-devel: PMA_1.2-3.zip, r-release: PMA_1.2-3.zip, r-oldrel: PMA_1.2-3.zip
macOS binaries: r-release (arm64): PMA_1.2-3.tgz, r-oldrel (arm64): PMA_1.2-3.tgz, r-release (x86_64): PMA_1.2-3.tgz
Old sources: PMA archive

Reverse dependencies:

Reverse depends: CVR, EESPCA, LPGraph
Reverse imports: HMC, omicRexposome, prinvars, RFCCA
Reverse suggests: conos, epca

Linking:

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