Package: ccaPP 0.3.4

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_0.3.4.tar.gz
ccaPP_0.3.4.tar.gz(r-4.5-noble)ccaPP_0.3.4.tar.gz(r-4.4-noble)
ccaPP_0.3.4.tgz(r-4.4-emscripten)ccaPP_0.3.4.tgz(r-4.3-emscripten)
ccaPP.pdf |ccaPP.html
ccaPP/json (API)
NEWS

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

Peer review:

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

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

openblascpp

4.84 score 3 stars 3 packages 27 scripts 1.9k downloads 14 exports 6 dependencies

Last updated 3 months agofrom:47465d4d75. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 04 2024
R-4.5-linux-x86_64OKDec 04 2024

Exports:ccaGridCCAgridccaProjCCAprojcorKendallcorMcorPearsoncorQuadrantcorSpearmanfastMADfastMedianmaxCorGridmaxCorProjpermTest

Dependencies:DEoptimRmvtnormpcaPPRcppRcppArmadillorobustbase

Robust Maximum Association Between Data Sets: The R Package ccaPP

Rendered fromccaPP-intro.Rnwusingknitr::knitron Dec 04 2024.

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