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<p>The <a href="https://www.r-project.org/" rel="nofollow">R</a> package <a href="http://lavaan.ugent.be/" rel="nofollow">lavaan</a> (<a href="https://www.jstatsoft.org/article/view/v048i02" rel="nofollow">Rosseel, 2012</a>) is open-source software that makes Structural Equation Modeling (SEM) freely available to a global community of researchers. Its growing popularity as a software option for SEM is due to its <a href="http://lavaan.ugent.be/tutorial/index.html" rel="nofollow">user-friendly syntax</a>, widespread community support for applied researchers (especially via a question-and-answer forum hosted by <a href="https://groups.google.com/d/forum/lavaan" rel="nofollow">Google Groups</a>), and the ability of methodological researchers to exploit its flexibility to implement their own newly proposed method in an existing software environment. </p> <p>Almost immediately following its 2010 release, an ecosystem of R packages grew to depend on lavaan, simultaneously enhancing the user experience by providing features for lavaan users that are available in commercial SEM software (e.g., Amos and M<em>plus</em>). A <a href="http://simsem.org/lavaan-ecosystem-M3-2014" rel="nofollow">2014 symposium</a> at the <a href="https://modeling.uconn.edu/" rel="nofollow">M3 conference</a> first highlighted six such packages: semTools, fSRM, semPlot, lavaan.survey, Onyx, and simsem. In the subsequent 5 years, the success of lavaan and its ecosystem has been marked by the continued development of these packages, as well as a growing presence on the web (not only the <a href="https://groups.google.com/d/forum/lavaan" rel="nofollow">Google Group</a>, but <a href="https://websem.psychstat.org" rel="nofollow">WebSEM</a>) and cutting-edge methods provided by additional R packages. </p> <p>The 2019 symposium at <a href="https://www.psychometricsociety.org/content/recent-meetings" rel="nofollow">IMPS</a> (organizer and chair: <a href="http://www.uva.nl/profile/t.d.jorgensen" rel="nofollow">Terrence D. Jorgensen</a>) summarized the current state of the early ecosystem and allowed newer contributors to showcase how their latest software developments (individual presentations listed below) extend lavaan in useful and exciting ways.</p> <p><strong>Featured Packages:</strong></p> <ol> <li> <p><a href="https://education.illinois.edu/people/ge-gabriella-jiang" rel="nofollow">Gabriella Jiang</a> (equaltestMI package)</p> <ul> <li>on <a href="https://CRAN.R-project.org/package=equaltestMI" rel="nofollow">CRAN</a>, on <a href="https://github.com/gabriellajg/equaltestMI" rel="nofollow">GitHub</a></li> </ul> </li> <li> <p><a href="http://stats.lse.ac.uk/moustaki/" rel="nofollow">Irini Moustaki</a> (+ <a href="https://www.linkedin.com/in/myrsini-katsikatsou-ab331949/" rel="nofollow">Myrsini Katsikatsou</a>) about <a href="https://CRAN.R-project.org/package=lavaan" rel="nofollow">lavaan</a>'s pairwise likelihood estimator for binary/ordinal outcomes</p> <ul> <li>link to <a href="https://users.ugent.be/~yrosseel/lavaan/pml/PL_Tutorial.pdf" rel="nofollow">tutorial</a> </li> <li>supporting papers in <em><a href="https://doi.org/10.1016/j.csda.2012.04.010" rel="nofollow">Computational Statistics & Data Analysis</a></em> and <em><a href="https://doi.org/10.1007/s11336-016-9523-z" rel="nofollow">Psychometrika</a></em></li> </ul> </li> <li> <p>Zachary Fisher (<a href="http://gateslab.web.unc.edu/programs/miivsem/" rel="nofollow">MIIVsem</a> package)</p> <ul> <li>on <a href="https://CRAN.R-project.org/package=MIIVsem" rel="nofollow">CRAN</a>, on <a href="https://github.com/zackfisher/MIIVsem" rel="nofollow">GitHub</a></li> </ul> </li> <li> <p><a href="https://faculty.missouri.edu/~merklee/" rel="nofollow">Ed Merkle</a> (<a href="https://faculty.missouri.edu/~merklee/blavaan/" rel="nofollow">blavaan</a> package)</p> <ul> <li>on <a href="https://CRAN.R-project.org/package=blavaan" rel="nofollow">CRAN</a>, on <a href="https://github.com/ecmerkle/blavaan" rel="nofollow">GitHub</a></li> <li><em>Journal of Statistical Software</em> <a href="https://www.jstatsoft.org/article/view/v085i04" rel="nofollow">article</a></li> </ul> </li> <li> <p>Stephanie Lane (<a href="http://gimme.web.unc.edu/" rel="nofollow">gimme</a> package)</p> <ul> <li>on <a href="https://CRAN.R-project.org/package=gimme" rel="nofollow">CRAN</a>, on <a href="https://github.com/GatesLab/gimme/" rel="nofollow">GitHub</a></li> </ul> </li> </ol> <p>Slides and example syntax are available in the <strong>Files</strong> tab of this project. Additional examples are available in each package's R documentation.</p>
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