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'))

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

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

diabetes - Diabetes data

4.92 score 3 stars 3 packages 25 scripts 2.5k downloads 14 exports 6 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Oct 05 2024
R-4.5-linux-x86_64	OK	Oct 05 2024

Exports:ccaGrid CCAgrid ccaProj CCAproj corKendall corM corPearson corQuadrant corSpearman fastMAD fastMedian maxCorGrid maxCorProj permTest

Dependencies:DEoptimR mvtnorm pcaPP Rcpp RcppArmadillo robustbase

Robust Maximum Association Between Data Sets: The R Package ccaPP

Rendered fromccaPP-intro.Rnwusingknitr::knitron Oct 05 2024.

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

Citation

Readme and manuals

Help Manual

Help page	Topics
(Robust) Canonical Correlation Analysis via Projection Pursuit	ccaPP-package ccaPP
(Robust) CCA via alternating series of grid searches	CCAgrid ccaGrid print.cca
(Robust) CCA via projections through the data points	CCAproj ccaProj
Fast implementations of (robust) correlation estimators	corFunctions corKendall corM corPearson corQuadrant corSpearman
Diabetes data	diabetes
Fast implementation of the median absolute deviation	fastMAD
Fast implementation of the median	fastMedian
(Robust) maximum correlation via alternating series of grid searches	maxCorGrid print.maxCor
(Robust) maximum correlation via projections through the data points	maxCorProj
(Robust) permutation test for no association	permTest