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cff-version: 1.2.0
message: 'To cite package "RegimeChange" in publications use:'
type: software
license: MIT
title: 'RegimeChange: Comprehensive Regime Change Detection in Time Series'
version: 0.1.1
doi: 10.32614/CRAN.package.RegimeChange
abstract: A unified framework for detecting regime changes (changepoints) in time
  series data. Implements both frequentist methods including Cumulative Sum (CUSUM,
  Page (1954) <https://doi.org/10.1093/biomet/41.1-2.100>), Pruned Exact Linear Time
  (PELT, Killick, Fearnhead, and Eckley (2012) <https://doi.org/10.1080/01621459.2012.737745>),
  Binary Segmentation, and Wild Binary Segmentation, as well as Bayesian methods such
  as Bayesian Online Changepoint Detection (BOCPD, Adams and MacKay (2007) <https://doi.org/10.48550/arXiv.0710.3742>
  and Shiryaev-Roberts. Supports offline analysis for retrospective detection and
  online monitoring for real-time surveillance. Provides rigorous uncertainty quantification
  through confidence intervals and posterior distributions. Handles univariate and
  multivariate series with detection of changes in mean, variance, trend, and distributional
  properties.
authors:
- family-names: Gómez Julián
  given-names: José Mauricio
  email: isadorenabi@pm.me
  orcid: https://orcid.org/0009-0000-2412-3150
repository: https://isadorenabi.r-universe.dev
repository-code: https://github.com/IsadoreNabi/RegimeChange
commit: 8049c521ff0346187e78587ddeaaaee8240df52a
url: https://github.com/IsadoreNabi/RegimeChange
date-released: '2026-07-31'
contact:
- family-names: Gómez Julián
  given-names: José Mauricio
  email: isadorenabi@pm.me
  orcid: https://orcid.org/0009-0000-2412-3150