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
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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'))
Datasets:

On CRAN:

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

1.70 score 166 downloads 3 exports 0 dependencies

Last updated 5 years agofrom:82472b3d73. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 30 2025
R-4.5-winOKJan 30 2025
R-4.5-macOKJan 30 2025
R-4.5-linuxOKJan 30 2025
R-4.4-winOKJan 30 2025
R-4.4-macOKJan 30 2025
R-4.3-winOKJan 30 2025
R-4.3-macOKJan 30 2025

Exports:cv.testfeatureCorMatrixicc

Dependencies: