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CRAN: Package ccaPP

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: 0.3.4 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: 2024-09-04 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.pdf Vignettes: Robust Maximum Association Between Data Sets: The R Package ccaPP (source, R code)
Downloads: Package source: ccaPP_0.3.4.tar.gz Windows binaries: r-devel: ccaPP_0.3.4.zip, r-release: ccaPP_0.3.4.zip, r-oldrel: ccaPP_0.3.4.zip macOS binaries: r-release (arm64): ccaPP_0.3.4.tgz, r-oldrel (arm64): ccaPP_0.3.4.tgz, r-release (x86_64): ccaPP_0.3.4.tgz, r-oldrel (x86_64): ccaPP_0.3.4.tgz Old sources: ccaPP archive Reverse dependencies: Reverse imports: ctsGE, nanostringr, phantasus Reverse suggests: yaImpute Linking:

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