cpca: Methods to perform Common Principal Component Analysis (CPCA)

This package contains methods to perform Common Principal Component Analysis (CPCA). The stepwise method by Trendafilov is published in the current version. Please see Trendafilov (2010). Stepwise estimation of common principal components. Computational Statistics & Data Analysis, 54(12), 3446-3457. doi:10.1016/j.csda.2010.03.010

Version: 0.1.2
Depends: R (≥ 3.0.1)
Suggests: abind, plyr
Published: 2014-02-07
Author: Andrey Ziyatdinov [aut, cre], Samir Kanaan-Izquierdo [aut], Nickolay T. Trendafilov [aut], Alexandre Perera-Lluna [aut]
Maintainer: Andrey Ziyatdinov <andrey.ziyatdinov at upc.edu>
License: GPL (≥ 3)
URL: https://github.com/variani/cpca
NeedsCompilation: no
Citation: cpca citation info
Materials: README
CRAN checks: cpca results


Reference manual: cpca.pdf


Package source: cpca_0.1.2.tar.gz
Windows binaries: r-devel: cpca_0.1.2.zip, r-release: cpca_0.1.2.zip, r-oldrel: cpca_0.1.2.zip
macOS binaries: r-release (arm64): cpca_0.1.2.tgz, r-oldrel (arm64): cpca_0.1.2.tgz, r-release (x86_64): cpca_0.1.2.tgz, r-oldrel (x86_64): cpca_0.1.2.tgz


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