spca: Sparse Principal Component Analysis

Computes Least Squares Sparse Principal Components either by a Branch-and-Bound search or with an iterative Backward Elimination algorithm. Sparse solutions can be plotted, printed and compared using the methods included.

Version: 0.6.0
Depends: R (≥ 3.1)
Imports: MASS
Suggests: formatR, knitr (≥ 1.8.0), ggplot2, reshape2
Published: 2014-12-16
Author: Giovanni Maria Merola
Maintainer: Giovanni Merola <lsspca at gmail.com>
BugReports: http://github.com/merolagio/spca/issues
License: GPL-3
URL: http://github.com/merolagio/spca
NeedsCompilation: no
CRAN checks: spca results

Downloads:

Reference manual: spca.pdf
Vignettes: Advanced Example
BE Algorithm
Introduction to spca
Manual
Package source: spca_0.6.0.tar.gz
Windows binaries: r-devel: spca_0.6.0.zip, r-release: spca_0.6.0.zip, r-oldrel: not available
OS X Snow Leopard binaries: r-release: spca_0.6.0.tgz, r-oldrel: not available
OS X Mavericks binaries: r-release: spca_0.6.0.tgz