changepoint: Methods for Changepoint Detection (original) (raw)
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 |
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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: | |
In views: | TimeSeries |
CRAN checks: | changepoint results |
Documentation:
Downloads:
Reverse dependencies:
Reverse depends: | changepoint.geo, changepoint.influence, changepoint.np, deltaGseg, EnvCpt, GENEAclassify |
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Reverse imports: | AEDForecasting, chopper, CONFESS, crossvalidationCP, densitr, envoutliers, eventstream, flowAI, flowClean, FlowScreen, GENEAcore, ggchangepoint, goldfish, harbinger, katdetectr, msltrend, OPTS, PCDimension, PCpluS, PCRedux, phenocamr, RtsEva, STOPES, StructuralDecompose, tidychangepoint, tip, trackeRapp |
Reverse suggests: | atime, binsegRcpp, ggfortify, jointseg, lterdatasampler |
Linking:
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