<?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>Group Iterative Multiple Model Estimation with 'graphicalVAR'</dc:title>
  <dc:title>R package GIMMEgVAR version 0.1.0</dc:title>
  <dc:description>Data-driven approach for arriving at person-specific time series models from within a Graphical Vector Autoregression (VAR) framework. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. All estimates are obtained uniquely for each individual in the final models. The method for the 'graphicalVAR' approach is found in Epskamp, Waldorp, Mottus &amp; Borsboom (2018) &lt;doi:10.1080/00273171.2018.1454823&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: graphicalVAR, here, qgraph, png</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Sandra Williams Lee &lt;wsandra@live.unc.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Sandra Williams Lee [aut, cre],
  Kathleen M. Gates [aut]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2024-05-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=GIMMEgVAR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.GIMMEgVAR</dc:identifier>
</oai_dc:dc>
