Introduction | Design and implementation | Maximum association measures | Permutation tests | Computation times | Conclusions
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:
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✨
DESCRIPTION |NEWS
card.svg |card.png
ccaPP/json (API)
| # 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
Datasets:
- diabetes - Diabetes data
Last updated from:12e697203e. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 154 | ||
| linux-devel-x86_64 | OK | 133 | ||
| source / vignettes | OK | 224 | ||
| linux-release-arm64 | OK | 148 | ||
| linux-release-x86_64 | OK | 134 | ||
| macos-release-arm64 | OK | 95 | ||
| macos-release-x86_64 | OK | 276 | ||
| macos-oldrel-arm64 | OK | 100 | ||
| macos-oldrel-x86_64 | OK | 168 | ||
| windows-devel | OK | 148 | ||
| windows-release | OK | 141 | ||
| windows-oldrel | OK | 118 | ||
| wasm-release | OK | 137 |
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 |
