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ringSeg  

Asymptotic Distribution-Free Change-Point Detection via a New Ranking Scheme (RING)
View on CRAN: Click here


Download and install ringSeg package within the R console
Install from CRAN:
install.packages("ringSeg")

Install from Github:
library("remotes")
install_github("cran/ringSeg")

Install by package version:
library("remotes")
install_version("ringSeg", "0.1.0")



Attach the package and use:
library("ringSeg")
Maintained by
Hao Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-25
Latest Update: 2026-06-25
Description:
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.
How to cite:
Hao Chen (2026). ringSeg: Asymptotic Distribution-Free Change-Point Detection via a New Ranking Scheme (RING). R package version 0.1.0, https://cran.r-project.org/web/packages/ringSeg. Accessed 24 Oct. 2026.
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Full ringSeg package functions and examples
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