<?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>Geometrically Inspired Multivariate Changepoint Detection</dc:title>
  <dc:title>R package changepoint.geo version 1.0.3</dc:title>
  <dc:subject>CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries)</dc:subject>
  <dc:description>Implements the high-dimensional changepoint detection method GeomCP and the related mappings used for changepoint detection. These methods view the changepoint problem from a geometrical viewpoint and aim to extract relevant geometrical features in order to detect changepoints. The geomcp() function should be your first point of call. References: Grundy et al. (2020) &lt;doi:10.1007/s11222-020-09940-y&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R(&gt;= 3.6), changepoint, changepoint.np, methods, ggplot2</dc:relation>
  <dc:relation>Imports: Rdpack</dc:relation>
  <dc:relation>Suggests: testthat, MASS</dc:relation>
  <dc:creator>Rebecca Killick &lt;r.killick@lancaster.ac.uk&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Thomas Grundy [aut],
  Rebecca Killick [cre, ths]</dc:contributor>
  <dc:rights>GPL</dc:rights>
  <dc:date>2025-08-31</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=changepoint.geo</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.changepoint.geo</dc:identifier>
</oai_dc:dc>
