Package: ccaPP 0.3.5

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.zip(r-4.7)ccaPP_0.3.5.zip(r-4.6)ccaPP_0.3.5.zip(r-4.5)
ccaPP_0.3.5.tgz(r-4.6-x86_64)ccaPP_0.3.5.tgz(r-4.6-arm64)ccaPP_0.3.5.tgz(r-4.5-x86_64)ccaPP_0.3.5.tgz(r-4.5-arm64)
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://aalfons.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

6.10 score 2 stars 3 packages 30 scripts 4.7k downloads 14 exports 6 dependencies

Last updated from:12e697203e. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK130
linux-devel-x86_64OK139
source / vignettesOK195
linux-release-arm64OK153
linux-release-x86_64OK133
macos-release-arm64OK103
macos-release-x86_64OK236
macos-oldrel-arm64OK99
macos-oldrel-x86_64OK362
windows-develOK159
windows-releaseOK163
windows-oldrelOK109
wasm-releaseOK121

Exports:ccaGridCCAgridccaProjCCAprojcorKendallcorMcorPearsoncorQuadrantcorSpearmanfastMADfastMedianmaxCorGridmaxCorProjpermTest

Dependencies:DEoptimRmvtnormpcaPPRcppRcppArmadillorobustbase

Robust Maximum Association Between Data Sets: The R Package ccaPP

Rendered fromccaPP-intro.Rnwusingknitr::knitron Jun 03 2026.

Last update: 2016-02-27
Started: 2016-02-27