<?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>Tidy Structural Equation Modeling</dc:title>
  <dc:title>R package tidySEM version 0.2.10</dc:title>
  <dc:subject>CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics)</dc:subject>
  <dc:description>A tidy workflow for generating, estimating, reporting,
    and plotting structural equation models using 'lavaan', 'OpenMx', or
    'Mplus'. Throughout this workflow, elements of syntax, results, and graphs
    are represented as 'tidy' data, making them easy to customize.
    Includes functionality to estimate latent class analyses, and to plot
    'dagitty' and 'igraph' objects.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0), stats, utils</dc:relation>
  <dc:relation>Imports: ggplot2 (&gt;= 3.5.0), lavaan (&gt;= 0.6-21), MplusAutomation,
igraph (&gt;= 2.0.0), psych, methods, gtable, dbscan, RANN,
Matrix, car, future.apply, progressr, progress, nonnest2 (&gt;=
0.5.6)</dc:relation>
  <dc:relation>Suggests: testthat, knitr, dplyr, stringr, covr, tidyLPA, poLCA, umx,
mclust, MASS, scales, yaml, formatR, dagitty, mice, ggraph,
OpenMx (&gt;= 2.21.13), rmarkdown, blavaan, bain, future</dc:relation>
  <dc:creator>Caspar J. van Lissa &lt;c.j.vanlissa@tilburguniversity.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Caspar J. van Lissa [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-0808-5024&gt;),
  Mauricio Garnier-Villarreal [ctb] (ORCID:
    &lt;https://orcid.org/0000-0002-2951-6647&gt;),
  Frank C Gootjes [ctb] (ORCID: &lt;https://orcid.org/0000-0002-0639-1001&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2026-01-11</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=tidySEM</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.tidySEM</dc:identifier>
</oai_dc:dc>
