<?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</dc:title>
  <dc:title>R package gimme version 10.0</dc:title>
  <dc:subject>CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics)</dc:subject>
  <dc:description>Data-driven approach for arriving at person-specific time series models. 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. See Gates &amp; Molenaar (2012) &lt;doi:10.1016/j.neuroimage.2012.06.026&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: lavaan (&gt;= 0.6-17), igraph (&gt;= 1.0-0), qgraph(&gt;= 1.9.8),
data.tree, MIIVsem(&gt;= 0.5.4), imputeTS(&gt;= 3.0), nloptr,
graphics, stats, MASS, tseries, utils</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Kathleen M Gates &lt;gateskm@email.unc.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Stephanie Lane [aut, trl],
  Kathleen M Gates [aut, cre, ccp],
  Zachary Fisher [aut],
  Cara Arizmendi [aut],
  Peter Molenaar [aut, ccp],
  Edgar Merkle [ctb],
  Michael Hallquist [ctb],
  Hallie Pike [ctb],
  Teague Henry [ctb],
  Kelly Duffy [ctb],
  Lan Luo [ctb],
  Adriene Beltz [csp],
  Aidan Wright [csp],
  Jonathan Park [ctb],
  Sebastian Castro Alvarez [ctb],
  Björn Siepe [ctb]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2026-04-17</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=gimme</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.gimme</dc:identifier>
</oai_dc:dc>
