PMA-package

This package is called PMA, for __P__enalized __M__ultivariate
__A__nalysis. It implements three methods: A penalized matrix
decomposition, sparse principal components analysis, and sparse
canonical correlations analysis. All are described in the reference below.
The main functions are: <code>PMD</code>, <code>CCA</code> and <code>SPC</code>.

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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>.

Balasubramanian Narasimhan

Penalized Multivariate Analysis

Daniela Witten

Rob Tibshirani

Sam Gross

PMA-package function

Maintainer: Balasubramanian Narasimhan <a href="/link/naras%40stanford.edu?package=PMA&version=1.2-4" data-mini-rdoc="PMA::naras@stanford.edu">naras@stanford.edu</a>
Authors:<ul>
<li>Daniela Witten</li>
<li>Rob Tibshirani <a href="/link/tibs%40stanford.edu?package=PMA&version=1.2-4" data-mini-rdoc="PMA::tibs@stanford.edu">tibs@stanford.edu</a></li>
<li>Sam Gross</li>
</ul>

Author

Penalized Multivariate Analysis — PMA-package

Maintainer: Balasubramanian Narasimhan <a href='mailto:naras@stanford.edu'>naras@stanford.edu</a>
Authors:<ul>
<li>Daniela Witten</li>
<li>Rob Tibshirani <a href='mailto:tibs@stanford.edu'>tibs@stanford.edu</a></li>
<li>Sam Gross</li>
</ul>

PMA-package: Penalized Multivariate Analysis

Description

Arguments

Author

Details

References

See Also