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RegimeChange

0.1.1

Comprehensive Regime Change Detection in Time Series

1packages depend
1.8Kdownloads / year
44.4%test coverage
13/13checks pass

Overview

About
Maintained by José Mauricio Gómez JuliánFirst published 2026-02-131 releasesCRAN page ↗GitHub ↗

A unified framework for detecting regime changes (changepoints) in time series data. Implements both frequentist methods including Cumulative Sum (CUSUM, Page (1954) doi:10.1093/biomet/41.1-2.100), Pruned Exact Linear Time (PELT, Killick, Fearnhead, and Eckley (2012) doi: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) doi: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.

Install

Health

CRAN checks
13OK
Slowest check: 11.1 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.15
44.4%
Coverage · measured lines
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 4,059 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
73%
Documented parameters
100%
Return-value docs
100%
References docs
24%

Downloads

1.8K
CRAN downloads in the past year
Rank #8,629 · ~5/day · ~150/mo
Daily download trend is not available in this view yet.
26830 days
1.1K90 days
1.8K1 year
Compare downloads with other packages →
Also on56 r2u15 autocran

Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
1Releases
3Commits
1Contributors
changepoint-detectioncranrr-packagetime-series
3 commits · Last activity 2026-07-31

Releases over time

2026-04-07 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/isadorenabi/regimechange on 2026-08-16.

Reproducibility and dev environment (1)
data-raw/
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
Imports (5)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
1indirect

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Authors (1)
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-02-13
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.0.0
Bundled data
33 KB / 4 files
Download size
193 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RegimeChange")
Gómez Julián, J. M. (2026). RegimeChange: Comprehensive Regime Change Detection in Time Series (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.RegimeChange

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RegimeChange version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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