Package: KSA 0.1.0
KSA: Retained Component Criterion for Principal Component Analysis
The Retained Component Criterion for Principal Component Analysis (RCC_PCA) is a tool to determine the optimal number of components to retain in PCA.
Authors:
KSA_0.1.0.tar.gz
KSA_0.1.0.zip(r-4.5)KSA_0.1.0.zip(r-4.4)KSA_0.1.0.zip(r-4.3)
KSA_0.1.0.tgz(r-4.4-any)KSA_0.1.0.tgz(r-4.3-any)
KSA_0.1.0.tar.gz(r-4.5-noble)KSA_0.1.0.tar.gz(r-4.4-noble)
KSA_0.1.0.tgz(r-4.4-emscripten)KSA_0.1.0.tgz(r-4.3-emscripten)
KSA.pdf |KSA.html✨
KSA/json (API)
| # Install 'KSA' in R: |
| install.packages('KSA', repos = c('https://aboaziz1.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:bceb2c2ebb. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-win | OK | Oct 31 2024 |
| R-4.5-linux | OK | Oct 31 2024 |
| R-4.4-win | OK | Oct 31 2024 |
| R-4.4-mac | OK | Oct 31 2024 |
| R-4.3-win | OK | Oct 31 2024 |
| R-4.3-mac | OK | Oct 31 2024 |
Exports:RCC_PCA
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Retained Component Criterion for Principal Component Analysis | RCC_PCA |
