Package: GRelevance 1.0

GRelevance: Graph-Based k-Sample Comparisons and Relevance Analysis in High Dimensions

We propose two distribution-free test statistics based on between-sample edge counts and measure the degree of relevance by standardized counts. Users can set edge costs in the graph to compare the parameters of the distributions. Methods for comparing distributions are as described in: Xiaoping Shi (2021) <arxiv:2107.00728>.

Authors:Xiaoping Shi [aut, cre]

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GRelevance.pdf |GRelevance.html✨
GRelevance/json (API)

# Install 'GRelevance' in R:
install.packages('GRelevance', repos = c('https://xshi1.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 239 downloads 6 exports 6 dependencies

Last updated 2 years agofrom:9f1a4df7cd. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 14 2025
R-4.5-winOKFeb 14 2025
R-4.5-macOKFeb 14 2025
R-4.5-linuxOKFeb 14 2025
R-4.4-winOKFeb 14 2025
R-4.4-macOKFeb 14 2025
R-4.3-winOKFeb 14 2025
R-4.3-macOKFeb 14 2025

Exports:compbypathHpathMpermutpath.kruskalWeightWpermut

Dependencies:KernSmoothMASSmvtnormphilentropypoormanRcpp