(Robust) Canonical Correlation Analysis via Projection Pursuit [R package ccaPP version 0.3.5]

Andreas Alfons

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: 0.3.5

Depends: R (≥ 3.2.0), parallel, pcaPP (≥ 1.8-1), robustbase

Imports: Rcpp (≥ 0.11.0)

LinkingTo: Rcpp (≥ 0.11.0), RcppArmadillo (≥ 0.7.200.1.0)

Suggests: knitr, mvtnorm

Published: 2025年10月02日

DOI: 10.32614/CRAN.package.ccaPP

Author: Andreas Alfons ORCID iD [aut, cre], David Simcha [ctb] (O(n log(n)) implementation of Kendall correlation)

Maintainer: Andreas Alfons <alfons at ese.eur.nl>

BugReports: https://github.com/aalfons/ccaPP/issues

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

URL: https://github.com/aalfons/ccaPP

NeedsCompilation: yes

Citation: ccaPP citation info

Materials: README, NEWS

CRAN checks: ccaPP results

Documentation:

Reference manual: ccaPP.html , ccaPP.pdf

Vignettes: Robust Maximum Association Between Data Sets: The R Package ccaPP (source, R code)

Downloads:

Package source: ccaPP_0.3.5.tar.gz

Windows binaries: r-devel: ccaPP_0.3.5.zip, r-release: ccaPP_0.3.5.zip, r-oldrel: ccaPP_0.3.5.zip

macOS binaries: r-release (arm64): ccaPP_0.3.5.tgz, r-oldrel (arm64): ccaPP_0.3.5.tgz, r-release (x86_64): ccaPP_0.3.5.tgz, r-oldrel (x86_64): ccaPP_0.3.5.tgz

Old sources: ccaPP archive

Reverse dependencies:

Reverse imports: ctsGE, nanostringr, phantasus

Reverse suggests: yaImpute

Linking:

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