Package: featureCorMatrix 0.4.0

featureCorMatrix: Measurement Level Independent Feature Correlation Matrix

Uses three different correlation coefficients to calculate measurement-level adequate correlations in a feature matrix: Pearson product-moment correlation coefficient, Intraclass correlation and Cramer's V.

Authors:Guido Moeser [aut, cre], Ilja Muhl [aut]

featureCorMatrix_0.4.0.tar.gz
featureCorMatrix_0.4.0.zip(r-4.7)featureCorMatrix_0.4.0.zip(r-4.6)featureCorMatrix_0.4.0.zip(r-4.5)
featureCorMatrix_0.4.0.tgz(r-4.6-any)featureCorMatrix_0.4.0.tgz(r-4.5-any)
featureCorMatrix_0.4.0.tar.gz(r-4.7-any)featureCorMatrix_0.4.0.tar.gz(r-4.6-any)
featureCorMatrix_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
featureCorMatrix/json (API)

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

On CRAN:

Conda:

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

1.70 score 139 downloads 3 exports 0 dependencies

Last updated from:82472b3d73. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK106
source / vignettesOK127
linux-release-x86_64OK116
macos-release-arm64OK130
macos-oldrel-arm64OK120
windows-develOK72
windows-releaseOK72
windows-oldrelOK49
wasm-releaseOK87

Exports:cv.testfeatureCorMatrixicc

Dependencies: