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: | 2025-10-02 |
| DOI: | 10.32614/CRAN.package.ccaPP |
| Author: | Andreas Alfons [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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