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:Fayed Alshammri

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'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1 exports 0.00 score 0 dependencies 219 downloads

Last updated 2 years agofrom:bceb2c2ebb. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-winOKAug 20 2024
R-4.5-linuxOKAug 20 2024
R-4.4-winOKAug 20 2024
R-4.4-macOKAug 20 2024
R-4.3-winOKAug 20 2024
R-4.3-macOKAug 20 2024

Exports:RCC_PCA

Dependencies: