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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: 1.2-4
Depends: R (≥ 2.10)
Imports: utils
Published: 2024-09-03
DOI: 10.32614/CRAN.package.PMA
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_1.2-4.tar.gz
Windows binaries: r-devel: PMA_1.2-4.zip, r-release: PMA_1.2-4.zip, r-oldrel: PMA_1.2-4.zip
macOS binaries: r-release (arm64): PMA_1.2-4.tgz, r-oldrel (arm64): PMA_1.2-4.tgz, r-release (x86_64): PMA_1.2-4.tgz, r-oldrel (x86_64): PMA_1.2-4.tgz
Old sources: PMA archive

Reverse dependencies:

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

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.