ccaPP: (Robust) Canonical Correlation Analysis via Projection Pursuit (original) (raw)

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: 2025-10-02
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
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,
CRAN checks: ccaPP results

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