# ------------------------------------------------
# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# ------------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "ringSeg" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'ringSeg: Asymptotic Distribution-Free Change-Point Detection via a New Ranking
  Scheme (RING)'
version: 0.1.0
doi: 10.1109/TIT.2025.3575858
abstract: 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) <https://doi.org/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.
authors:
- family-names: Zhou
  given-names: Doudou
- family-names: Chen
  given-names: Hao
  email: hxchen@ucdavis.edu
preferred-citation:
  type: article
  title: Asymptotic Distribution-Free Change-Point Detection for Modern Data Based
    on a New Ranking Scheme
  authors:
  - family-names: Zhou
    given-names: Doudou
  - family-names: Chen
    given-names: Hao
    email: hxchen@ucdavis.edu
  journal: IEEE Transactions on Information Theory
  year: '2025'
  volume: '71'
  issue: '8'
  month: '8'
  doi: 10.1109/TIT.2025.3575858
  notes: 'Date of publication: 02 June 2025'
  start: '6183'
  end: '6197'
repository: https://cran.r-universe.dev
commit: 7d5a7198f3ab66811291b454bb95d07723052d31
date-released: '2026-06-25'
contact:
- family-names: Chen
  given-names: Hao
  email: hxchen@ucdavis.edu