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.

Version: 0.1.0
Depends: stats, graphics
Published: 2022-09-21
DOI: 10.32614/CRAN.package.KSA
Author: Fayed Alshammri
Maintainer: Dr. Fayed Alshammri <fayed333 at hotmail.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: KSA results

Documentation:

Reference manual: KSA.pdf

Downloads:

Package source: KSA_0.1.0.tar.gz
Windows binaries: r-devel: KSA_0.1.0.zip, r-release: KSA_0.1.0.zip, r-oldrel: KSA_0.1.0.zip
macOS binaries: r-release (arm64): KSA_0.1.0.tgz, r-oldrel (arm64): KSA_0.1.0.tgz, r-release (x86_64): KSA_0.1.0.tgz, r-oldrel (x86_64): KSA_0.1.0.tgz

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