Package: ccaPP 0.3.4

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
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ccaPP.pdf |ccaPP.html✨
ccaPP/json (API)
NEWS

# Install 'ccaPP' in R:
install.packages('ccaPP', repos = c('https://aalfons.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:

On CRAN:

5.72 score 2 stars 3 packages 27 scripts 2.2k downloads 14 exports 6 dependencies

Last updated 2 months agofrom:07584367d2. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-win-x86_64OKNov 03 2024
R-4.5-linux-x86_64OKNov 03 2024
R-4.4-win-x86_64OKNov 03 2024
R-4.4-mac-x86_64OKNov 03 2024
R-4.4-mac-aarch64OKNov 03 2024
R-4.3-win-x86_64OKNov 03 2024
R-4.3-mac-x86_64OKNov 03 2024
R-4.3-mac-aarch64OKNov 03 2024

Exports:ccaGridCCAgridccaProjCCAprojcorKendallcorMcorPearsoncorQuadrantcorSpearmanfastMADfastMedianmaxCorGridmaxCorProjpermTest

Dependencies:DEoptimRmvtnormpcaPPRcppRcppArmadillorobustbase

Robust Maximum Association Between Data Sets: The R Package ccaPP

Rendered fromccaPP-intro.Rnwusingknitr::knitron Nov 03 2024.

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