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: 1.0.9
Depends: R (≥ 2.10), plyr, impute
Published: 2013-03-25
Author: Daniela Witten and Rob Tibshirani and Sam Gross and Balasubramanian Narasimhan
Maintainer: Daniela Witten <dwitten at u.washington.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: PMA results

Downloads:

Reference manual: PMA.pdf
Package source: PMA_1.0.9.tar.gz
OS X binary: PMA_1.0.9.tgz
Windows binary: PMA_1.0.9.zip
Old sources: PMA archive

Reverse dependencies:

Reverse imports: smart