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) <doi:10.48550/arXiv.2107.00728>.

Version: 1.0
Depends: R (≥ 2.10)
Imports: mvtnorm, MASS, philentropy
Published: 2023-02-22
DOI: 10.32614/CRAN.package.GRelevance
Author: Xiaoping Shi ORCID iD [aut, cre]
Maintainer: Xiaoping Shi <xiaoping.shi at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: GRelevance results


Reference manual: GRelevance.pdf


Package source: GRelevance_1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GRelevance_1.0.tgz, r-oldrel (arm64): GRelevance_1.0.tgz, r-release (x86_64): GRelevance_1.0.tgz, r-oldrel (x86_64): GRelevance_1.0.tgz


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