ringSeg: Asymptotic Distribution-Free Change-Point Detection via a New Ranking Scheme (RING)

Rank-based, asymptotic distribution-free change-point detection for modern (high-dimensional, non-Euclidean) data, based on the graph-induced ranking scheme of Zhou and Chen (2025) <doi:10.1109/TIT.2025.3575858>. Given a rank matrix built from a pairwise similarity, the method scans for a single change-point or a changed interval using three statistics (weighted 'WR', max-type 'MR', and generalized 'TR') and returns analytic distribution-free p-value approximations (with an optional skewness correction) as well as optional permutation p-values.

Version:	0.1.0
Imports:	stats
Published:	2026-06-25
DOI:	10.32614/CRAN.package.ringSeg (may not be active yet)
Author:	Doudou Zhou [aut], Hao Chen [aut, cre]
Maintainer:	Hao Chen <hxchen at ucdavis.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Citation:	ringSeg citation info
Materials:	README, NEWS
CRAN checks:	ringSeg results

Documentation:

Reference manual:

ringSeg.html , ringSeg.pdf

Downloads:

Package source:	ringSeg_0.1.0.tar.gz
Windows binaries:	r-devel: ringSeg_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): ringSeg_0.1.0.tgz, r-oldrel (arm64): ringSeg_0.1.0.tgz, r-release (x86_64): ringSeg_0.1.0.tgz, r-oldrel (x86_64): ringSeg_0.1.0.tgz

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