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 (may not be active yet)
Author:	Doudou Zhou [aut, cre], Hao Chen [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: not available, r-oldrel: not available
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

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