ccaPP: (Robust) Canonical Correlation Analysis via Projection Pursuit

Canonical correlation analysis and maximum correlation via projection pursuit, as well as fast implementations of correlation estimators, with a focus on robust and non-parametric methods.

Version: 0.3.2
Depends: R (≥ 3.2.0), parallel, pcaPP (≥ 1.8-1), robustbase
Imports: Rcpp (≥ 0.11.0)
LinkingTo: Rcpp (≥ 0.11.0), RcppArmadillo (≥ 0.4.100.0)
Suggests: knitr, mvtnorm
Published: 2016-03-07
Author: Andreas Alfons [aut, cre], David Simcha [ctb]
Maintainer: Andreas Alfons <alfons at ese.eur.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: ccaPP citation info
Materials: NEWS
CRAN checks: ccaPP results

Downloads:

Reference manual: ccaPP.pdf
Vignettes: Robust Maximum Association Between Data Sets: The R Package ccaPP
Package source: ccaPP_0.3.2.tar.gz
Windows binaries: r-devel: ccaPP_0.3.2.zip, r-release: ccaPP_0.3.2.zip, r-oldrel: ccaPP_0.3.2.zip
OS X Mavericks binaries: r-release: ccaPP_0.3.2.tgz, r-oldrel: ccaPP_0.3.2.tgz
Old sources: ccaPP archive

Reverse dependencies:

Reverse suggests: yaImpute