<?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>Analysing Accelerometer Data Using Hidden Markov Models</dc:title>
  <dc:title>R package HMMpa version 1.0.2</dc:title>
  <dc:description>Analysing time-series accelerometer data to quantify length and 
             intensity of physical activity using hidden Markov models. 
             It also contains the traditional cut-off point method.
             Witowski V, Foraita R, Pitsiladis Y, Pigeot I, Wirsik N (2014).
             &lt;doi:10.1371/journal.pone.0114089&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10.0)</dc:relation>
  <dc:relation>Imports: graphics, stats</dc:relation>
  <dc:creator>Foraita Ronja &lt;foraita@leibniz-bips.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Vitali Witowski [aut],
  Foraita Ronja [cre, aut] (ORCID:
    &lt;https://orcid.org/0000-0003-2216-6653&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-01-31</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=HMMpa</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.HMMpa</dc:identifier>
</oai_dc:dc>
