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 |
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 El Capitan binaries: | r-release: ccaPP_0.3.2.tgz |
OS X Mavericks binaries: | r-oldrel: ccaPP_0.3.2.tgz |
Old sources: | ccaPP archive |
Reverse suggests: | yaImpute |
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