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-4.5)featureCorMatrix_0.4.0.zip(r-4.4)featureCorMatrix_0.4.0.zip(r-4.3)
featureCorMatrix_0.4.0.tgz(r-4.4-any)featureCorMatrix_0.4.0.tgz(r-4.3-any)
featureCorMatrix_0.4.0.tar.gz(r-4.5-noble)featureCorMatrix_0.4.0.tar.gz(r-4.4-noble)
featureCorMatrix_0.4.0.tgz(r-4.4-emscripten)featureCorMatrix_0.4.0.tgz(r-4.3-emscripten)
featureCorMatrix.pdf |featureCorMatrix.html
featureCorMatrix/json (API)

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

Peer review:

Datasets:

On CRAN:

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

3 exports 0.00 score 0 dependencies 181 downloads

Last updated 4 years agofrom:82472b3d73. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-winOKAug 25 2024
R-4.5-linuxOKAug 25 2024
R-4.4-winOKAug 25 2024
R-4.4-macOKAug 25 2024
R-4.3-winOKAug 25 2024
R-4.3-macOKAug 25 2024

Exports:cv.testfeatureCorMatrixicc

Dependencies: