This package is considered a duplicate. The official version of this package is found at:https://aalfons.r-universe.dev/ccaPP
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:
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
Datasets:
- diabetes - Diabetes data
Last updated 3 months agofrom:47465d4d75. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 04 2024 |
R-4.5-linux-x86_64 | OK | Dec 04 2024 |
Exports:ccaGridCCAgridccaProjCCAprojcorKendallcorMcorPearsoncorQuadrantcorSpearmanfastMADfastMedianmaxCorGridmaxCorProjpermTest
Dependencies:DEoptimRmvtnormpcaPPRcppRcppArmadillorobustbase
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 |