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: | 2.2.2 |
Depends: | R (≥ 3.1), methods, stats, zoo (≥ 0.9-1) |
Suggests: | testthat |
Published: | 2016-10-04 |
Author: | Rebecca Killick [aut, cre], Kaylea Haynes [aut], Idris Eckley [ths, aut], Paul Fearnhead [ctb, ths], Jamie Lee [ctr] |
Maintainer: | Rebecca Killick <r.killick at lancs.ac.uk> |
BugReports: | <changepoints@lancs.ac.uk> |
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_2.2.2.tar.gz |
Windows binaries: | r-devel: changepoint_2.2.2.zip, r-release: changepoint_2.2.2.zip, r-oldrel: changepoint_2.2.2.zip |
macOS binaries: | r-release: changepoint_2.2.2.tgz, r-oldrel: changepoint_2.2.2.tgz |
Old sources: | changepoint archive |
Reverse depends: | changepoint.geo, changepoint.np, deltaGseg, EnvCpt, GENEAclassify, SISPA |
Reverse imports: | AEDForecasting, CONFESS, densitr, envoutliers, eventstream, flowAI, flowClean, FlowScreen, GeoLight, GISPA, msltrend, PCDimension, PCRedux, phenocamr, rtimicropem, sssc, STOPES, trackeRapp, TrendSLR, vanquish |
Reverse suggests: | cycleRtools, ecolottery, ggfortify, jointseg |
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