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-4.5)CCP_1.2.zip(r-4.4)CCP_1.2.zip(r-4.3)
CCP_1.2.tgz(r-4.4-any)CCP_1.2.tgz(r-4.3-any)
CCP_1.2.tar.gz(r-4.5-noble)CCP_1.2.tar.gz(r-4.4-noble)
CCP_1.2.tgz(r-4.4-emscripten)CCP_1.2.tgz(r-4.3-emscripten)
CCP.pdf |CCP.html✨
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 2 years agofrom:47f11e33ab. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 17 2024 |
| R-4.5-win | OK | Sep 17 2024 |
| R-4.5-linux | OK | Sep 17 2024 |
| R-4.4-win | OK | Sep 17 2024 |
| R-4.4-mac | OK | Sep 17 2024 |
| R-4.3-win | OK | Sep 17 2024 |
| R-4.3-mac | OK | Sep 17 2024 |
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 |
