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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: | 2.2.4 |
Depends: | R (≥ 3.1), methods, stats, zoo (≥ 0.9-1) |
Suggests: | testthat, vdiffr |
Published: | 2022-11-03 |
DOI: | 10.32614/CRAN.package.changepoint |
Author: | Rebecca Killick [aut, cre], Kaylea Haynes [aut], 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 |
Reference manual: | changepoint.pdf |
Package source: | changepoint_2.2.4.tar.gz |
Windows binaries: | r-devel: changepoint_2.2.4.zip, r-release: changepoint_2.2.4.zip, r-oldrel: changepoint_2.2.4.zip |
macOS binaries: | r-release (arm64): changepoint_2.2.4.tgz, r-oldrel (arm64): changepoint_2.2.4.tgz, r-release (x86_64): changepoint_2.2.4.tgz, r-oldrel (x86_64): changepoint_2.2.4.tgz |
Old sources: | changepoint archive |
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, tip, trackeRapp, TrendSLR, vanquish |
Reverse suggests: | atime, binsegRcpp, cycleRtools, ecolottery, fastcpd, ggfortify, jointseg, lterdatasampler |
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.
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