Package: changepoint 2.3

Rebecca Killick

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.

Authors:Rebecca Killick [aut, cre], Kaylea Haynes [ctb], Harjit Hullait [ctb], Idris Eckley [ths], Paul Fearnhead [ctb, ths], Robin Long [ctb], Jamie Lee [ctr]

changepoint_2.3.tar.gz
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changepoint.pdf |changepoint.html
changepoint/json (API)
NEWS

# Install 'changepoint' in R:
install.packages('changepoint', repos = c('https://rkillick.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/rkillick/changepoint/issues

Datasets:
  • HC1 - G+C Content in Human Chromosome 1
  • Lai2005fig3 - Normalized glioblastoma profile for chromosome 13
  • Lai2005fig4 - Normalized glioblastoma profile for an excerpt of chromosome 7, the EGFR locus.
  • ftse100 - FTSE 100 Daily Returns: 2nd April 1984 - 13th September 2012
  • wave.c44137 - Wave data from buoy c44137

On CRAN:

changepointsegmentation

10.59 score 128 stars 40 packages 688 scripts 6.2k downloads 13 mentions 49 exports 2 dependencies

Last updated 16 days agofrom:4846aff63b. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-win-x86_64OKNov 03 2024
R-4.5-linux-x86_64OKNov 03 2024
R-4.4-win-x86_64OKNov 03 2024
R-4.4-mac-x86_64OKNov 03 2024
R-4.4-mac-aarch64OKNov 03 2024
R-4.3-win-x86_64OKNov 03 2024
R-4.3-mac-x86_64OKNov 03 2024
R-4.3-mac-aarch64OKNov 03 2024

Exports:BINSEGclass_inputcoefcpt.meancpt.meanvarcpt.regcpt.varcptscpts.fullcpts.full<-cpts.tscpts<-cpttypecpttype<-data.setdata.set.tsdata.set<-decisiondistributiondistribution<-fittedlikelihoodlogLikmethodmethod<-minseglenminseglen<-ncptsncpts.maxncpts.max<-nsegparamparam.estparam.est<-PELTpen.typepen.type<-pen.valuepen.value.fullpen.value.full<-pen.value<-penalty_decisionplotresidualsseg.lenshowsummarytest.stattest.stat<-

Dependencies:latticezoo