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GraphRankTest: Rank in Similarity Graph Edge-Count Two-Sample Test (RISE)

Implements the Rank In Similarity Graph Edge-count two-sample test (RISE) for high-dimensional and non-Euclidean data. The method constructs similarity-based graphs, such as k-nearest neighbor graph (k-NNG), k-minimum spanning tree (k-MST), and k-minimum distance non-bipartite pairing (k-MDP), and evaluates rank-based within-sample edge counts with asymptotic and permutation p-values. For methodological details, see Zhou and Chen (2023) <https://proceedings.mlr.press/v195/zhou23a.html>.

Version:0.1
Depends:R (≥ 3.5.0)
Imports:stats,ade4,nbpMatching
Suggests:testthat (≥ 3.0.0),rmarkdown
Published:2025-11-12
DOI:10.32614/CRAN.package.GraphRankTest
Author:Doudou ZhouORCID iD [aut, cre], Hao ChenORCID iD [aut]
Maintainer:Doudou Zhou <ddzhou at nus.edu.sg>
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://proceedings.mlr.press/v195/zhou23a.html
NeedsCompilation:no
CRAN checks:GraphRankTest results

Documentation:

Reference manual:GraphRankTest.html ,GraphRankTest.pdf

Downloads:

Package source: GraphRankTest_0.1.tar.gz
Windows binaries: r-devel:GraphRankTest_0.1.zip, r-release:GraphRankTest_0.1.zip, r-oldrel:GraphRankTest_0.1.zip
macOS binaries: r-release (arm64):GraphRankTest_0.1.tgz, r-oldrel (arm64):GraphRankTest_0.1.tgz, r-release (x86_64):GraphRankTest_0.1.tgz, r-oldrel (x86_64):GraphRankTest_0.1.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=GraphRankTestto link to this page.


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