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-4.7)KSA_0.1.0.zip(r-4.6)KSA_0.1.0.zip(r-4.5)
KSA_0.1.0.tgz(r-4.6-any)KSA_0.1.0.tgz(r-4.5-any)
KSA_0.1.0.tar.gz(r-4.7-any)KSA_0.1.0.tar.gz(r-4.6-any)
KSA_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
KSA/json (API)

# Install 'KSA' in R:
install.packages('KSA', repos = c('https://aboaziz1.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.00 score 142 downloads 1 exports 0 dependencies

Last updated from:bceb2c2ebb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK95
source / vignettesOK124
linux-release-x86_64OK92
macos-release-arm64OK61
macos-oldrel-arm64OK77
windows-develOK66
windows-releaseOK57
windows-oldrelOK68
wasm-releaseOK79

Exports:RCC_PCA

Dependencies: