<?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>Penalty Learning</dc:title>
  <dc:title>R package penaltyLearning version 2024.9.3</dc:title>
  <dc:description>Implementations of algorithms from 
 Learning Sparse Penalties for Change-point Detection
 using Max Margin Interval Regression, by
 Hocking, Rigaill, Vert, Bach
 &lt;http://proceedings.mlr.press/v28/hocking13.html&gt;
 published in proceedings of ICML2013.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: data.table (&gt;= 1.9.8), ggplot2</dc:relation>
  <dc:relation>Suggests: neuroblastoma, jointseg, testthat, future, future.apply,
directlabels (&gt;= 2017.03.31)</dc:relation>
  <dc:creator>Toby Dylan Hocking &lt;toby.hocking@r-project.org&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Toby Dylan Hocking [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-10-02</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=penaltyLearning</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.penaltyLearning</dc:identifier>
</oai_dc:dc>
