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changepoint: Methods for Changepoint Detection

Implements various mainstream and specialised changepoint methods for finding single and multiple changepoints within data. Many popular non-parametric and frequentist methods are included. The cpt.mean(), cpt.var(), cpt.meanvar() functions should be your first point of call.

Version: 2.3
Depends: R (≥ 3.2), methods, stats, zoo (≥ 0.9-1)
Suggests: testthat, vdiffr
Published: 2024-11-04
DOI: 10.32614/CRAN.package.changepoint
Author: Rebecca Killick [aut, cre], Kaylea Haynes [ctb], Harjit Hullait [ctb], Idris Eckley [ths], Paul Fearnhead [ctb, ths], Robin Long [ctb], Jamie Lee [ctr]
Maintainer: Rebecca Killick <r.killick at lancs.ac.uk>
BugReports: https://github.com/rkillick/changepoint/issues
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: https://github.com/rkillick/changepoint/
NeedsCompilation: yes
Citation: changepoint citation info
Materials: NEWS
In views: TimeSeries
CRAN checks: changepoint results

Documentation:

Reference manual: changepoint.pdf

Downloads:

Package source: changepoint_2.3.tar.gz
Windows binaries: r-devel: changepoint_2.3.zip, r-release: changepoint_2.3.zip, r-oldrel: changepoint_2.3.zip
macOS binaries: r-release (arm64): changepoint_2.3.tgz, r-oldrel (arm64): changepoint_2.3.tgz, r-release (x86_64): changepoint_2.3.tgz, r-oldrel (x86_64): changepoint_2.3.tgz
Old sources: changepoint archive

Reverse dependencies:

Reverse depends: changepoint.geo, changepoint.influence, changepoint.np, deltaGseg, EnvCpt, GENEAclassify
Reverse imports: AEDForecasting, CONFESS, crossvalidationCP, densitr, envoutliers, eventstream, flowAI, flowClean, FlowScreen, ggchangepoint, goldfish, harbinger, katdetectr, msltrend, OPTS, PCDimension, phenocamr, RtsEva, sssc, STOPES, StructuralDecompose, tidychangepoint, tip, trackeRapp, TrendSLR, vanquish
Reverse suggests: atime, binsegRcpp, cycleRtools, ecolottery, ggfortify, jointseg, lterdatasampler

Linking:

Please use the canonical form https://CRAN.R-project.org/package=changepoint to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.