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 nonparametric methods.

Version: 0.3.3
Depends: R (≥ 3.2.0), parallel, pcaPP (≥ 1.8-1), robustbase
Imports: Rcpp (≥ 0.11.0)
LinkingTo: Rcpp (≥ 0.11.0), RcppArmadillo (≥
Suggests: knitr, mvtnorm
Published: 2019-12-09
DOI: 10.32614/CRAN.package.ccaPP
Author: Andreas Alfons [aut, cre], David Simcha [ctb]
Maintainer: Andreas Alfons <alfons at>
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_0.3.3.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): ccaPP_0.3.3.tgz, r-oldrel (arm64): ccaPP_0.3.3.tgz, r-release (x86_64): ccaPP_0.3.3.tgz, r-oldrel (x86_64): ccaPP_0.3.3.tgz
Old sources: ccaPP archive

Reverse dependencies:

Reverse imports: ctsGE, nanostringr, phantasus
Reverse suggests: yaImpute


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