<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Methods for Changepoint Detection</dc:title>
  <dc:title>R package changepoint version 2.3</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R(&gt;= 3.2), methods, stats, zoo(&gt;= 0.9-1)</dc:relation>
  <dc:relation>Suggests: testthat, vdiffr</dc:relation>
  <dc:creator>Rebecca Killick &lt;r.killick@lancs.ac.uk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Rebecca Killick [aut, cre],
  Kaylea Haynes [ctb],
  Harjit Hullait [ctb],
  Idris Eckley [ths],
  Paul Fearnhead [ctb, ths],
  Robin Long [ctb],
  Jamie Lee [ctr]</dc:contributor>
  <dc:rights>GPL</dc:rights>
  <dc:date>2024-11-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=changepoint</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.changepoint</dc:identifier>
</oai_dc:dc>
