Package: CCP 1.2
CCP: Significance Tests for Canonical Correlation Analysis (CCA)
Significance tests are provided for canonical correlation analysis, including asymptotic tests and a Monte Carlo method.
Authors:
CCP_1.2.tar.gz
CCP_1.2.zip(r-4.7)CCP_1.2.zip(r-4.6)CCP_1.2.zip(r-4.5)
CCP_1.2.tgz(r-4.6-any)CCP_1.2.tgz(r-4.5-any)
CCP_1.2.tar.gz(r-4.7-any)CCP_1.2.tar.gz(r-4.6-any)
CCP_1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CCP/json (API)
| # Install 'CCP' in R: |
| install.packages('CCP', repos = c('https://uwemenzel.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:47f11e33ab. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 95 | ||
| source / vignettes | OK | 170 | ||
| linux-release-x86_64 | OK | 76 | ||
| macos-release-arm64 | OK | 109 | ||
| macos-oldrel-arm64 | OK | 189 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 55 | ||
| windows-oldrel | OK | 56 | ||
| wasm-release | OK | 81 |
Exports:Hotelling.statHotellingLawleyTracep.asymp.permp.RoyPillai.statPillaiBartlettTraceplt.asymplt.permRaoF.statWilksLambda
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Significance Tests for Canonical Correlation Analysis | CCP-package CCP |
| Internal functions for CCP package | Hotelling.stat HotellingLawleyTrace p.Roy Pillai.stat PillaiBartlettTrace RaoF.stat WilksLambda |
| Asymptotic tests for the statistical significance of canonical correlation coefficients | p.asym |
| Permutation test for the significance of canonical correlation coefficients | p.perm |
| Plot asymptotic distributions for test statistics | plt.asym |
| Plot permutation distributions for test statistics | plt.perm |
