Package: ccaPP 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.

Authors:Andreas Alfons [aut, cre], David Simcha [ctb] implementation of Kendall correlation)

ccaPP_0.3.5.tar.gz
ccaPP_0.3.5.tar.gz(r-4.7-arm64)ccaPP_0.3.5.tar.gz(r-4.7-x86_64)ccaPP_0.3.5.tar.gz(r-4.6-arm64)ccaPP_0.3.5.tar.gz(r-4.6-x86_64)
ccaPP_0.3.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ccaPP/json (API)
NEWS

# Install 'ccaPP' in R:
install.packages('ccaPP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/aalfons/ccapp/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

openblascpp

5.32 score 3 stars 3 packages 34 scripts 4.6k downloads 14 exports 6 dependencies

Last updated from:027e209ca6. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK140
linux-devel-x86_64OK140
source / vignettesOK208
linux-release-arm64OK135
linux-release-x86_64OK143
wasm-releaseOK138

Exports:ccaGridCCAgridccaProjCCAprojcorKendallcorMcorPearsoncorQuadrantcorSpearmanfastMADfastMedianmaxCorGridmaxCorProjpermTest

Dependencies:DEoptimRmvtnormpcaPPRcppRcppArmadillorobustbase

Robust Maximum Association Between Data Sets: The R Package ccaPP

Rendered fromccaPP-intro.Rnwusingknitr::knitron May 24 2026.

Last update: 2016-03-07
Started: 2016-03-07