<?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>Raw Accelerometer Data Analysis</dc:title>
  <dc:title>R package GGIR version 3.4-0</dc:title>
  <dc:subject>CRAN Task View: Tracking (https://CRAN.R-project.org/view=Tracking)</dc:subject>
  <dc:description>A tool to process and analyse data collected with wearable
    raw acceleration sensors as described in Migueles and colleagues (JMPB
    2019), and van Hees and colleagues (JApplPhysiol 2014; PLoSONE 2015).
    The package has been developed and tested for binary data from
    'GENEActiv' &lt;https://activinsights.com/&gt;, binary (.gt3x) and
    .csv-export data from 'Actigraph' &lt;https://ametris.com/&gt; devices, and
    binary (.cwa) and .csv-export data from 'Axivity'
    &lt;https://axivity.com&gt;. These devices are currently widely used in
    research on human daily physical activity. Further, the package can
    handle accelerometer data file from any other sensor brand providing
    that the data is stored in csv format. Also the package allows for
    external function embedding.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5), stats, utils</dc:relation>
  <dc:relation>Imports: ActCR, actilifecounts, arrow, data.table, doParallel, foreach,
GGIRread, grDevices, ineq, irr, lubridate, methods, parallel,
psych, read.gt3x, readxl, signal, unisensR, zoo</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat</dc:relation>
  <dc:creator>Vincent T van Hees &lt;v.vanhees@accelting.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Vincent T van Hees [aut, cre],
  Jairo H Migueles [aut] (ORCID: &lt;https://orcid.org/0000-0003-0366-6935&gt;),
  Severine Sabia [ctb],
  Matthew R Patterson [ctb],
  Zhou Fang [ctb],
  Joe Heywood [ctb],
  Joan Capdevila Pujol [ctb],
  Lena Kushleyeva [ctb],
  Mathilde Chen [ctb],
  Manasa Yerramalla [ctb],
  Patrick Bos [ctb] (ORCID: &lt;https://orcid.org/0000-0002-6033-960X&gt;),
  Samuel T Afolabi [ctb] (ORCID: &lt;https://orcid.org/0009-0002-7325-6405&gt;),
  Taren Sanders [ctb],
  Chenxuan Zhao [ctb],
  Ian Meneghel Danilevicz [ctb] (ORCID:
    &lt;https://orcid.org/0000-0003-4541-0524&gt;),
  Victor Barreto Mesquita [ctb],
  Gaia Segantin [ctb],
  Xiaoyu Zong [ctb] (ORCID: &lt;https://orcid.org/0000-0001-5646-710X&gt;),
  Medical Research Council UK [cph, fnd],
  Accelting [cph, fnd],
  French National Research Agency [cph, fnd]</dc:contributor>
  <dc:rights>Apache License (== 2.0)</dc:rights>
  <dc:rights>file LICENSE (https://CRAN.R-project.org/package=GGIR/LICENSE)</dc:rights>
  <dc:date>2026-11-08</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=GGIR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.GGIR</dc:identifier>
</oai_dc:dc>