Package: RCCPCA 0.1.0

RCCPCA: "Retained Component Criterion for Principal Component Analysis"

The RCC_PCA criterion is a tool to determine the optimal number of components to retain in PCA;See Alshammri (2021).

Authors:Fayed Alshammri

RCCPCA_0.1.0.tar.gz
RCCPCA_0.1.0.zip(r-4.7)RCCPCA_0.1.0.zip(r-4.6)RCCPCA_0.1.0.zip(r-4.5)
RCCPCA_0.1.0.tgz(r-4.6-any)RCCPCA_0.1.0.tgz(r-4.5-any)
RCCPCA_0.1.0.tar.gz(r-4.7-any)RCCPCA_0.1.0.tar.gz(r-4.6-any)
RCCPCA_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RCCPCA/json (API)

# Install 'RCCPCA' in R:
install.packages('RCCPCA', 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 249 downloads 1 exports 0 dependencies

Last updated from:a5ca30dc1b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK120
linux-release-x86_64OK95
macos-release-arm64OK191
macos-oldrel-arm64OK141
windows-develOK72
windows-releaseOK63
windows-oldrelOK71
wasm-releaseOK105

Exports:RCC_PCA

Dependencies: