<?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>Change Point Detection with L0 Penalty</dc:title>
  <dc:title>R package L0cpt version 0.2.0</dc:title>
  <dc:description>Under an L0 penalty framework, a computationally efficient implementation of change point detection is developed.  By integrating active set algorithms with warm start initialization, the package achieves linear-time complexity for solving change point detection problems. References: Wen et al. (2020) &lt;doi:10.18637/jss.v094.i04&gt;; Zhu et al. (2020)&lt;doi:10.1073/pnas.2014241117&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: ggplot2, stats</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Tianhao Wang &lt;tianhaowang@mail.ustc.edu.cn&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Tianhao Wang [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2026-03-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=L0cpt</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.L0cpt</dc:identifier>
</oai_dc:dc>
