Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Edgar C. Merkle, Yves Rosseel
Title: blavaan: Bayesian Structural Equation Models via Parameter Expansion
Abstract: This article describes blavaan, an R package for estimating Bayesian structural equation models (SEMs) via JAGS and for summarizing the results. It also describes a novel parameter expansion approach for estimating specific types of models with residual covariances, which facilitates estimation of these models in JAGS. The methodology and software are intended to provide users with a general means of estimating Bayesian SEMs, both classical and novel, in a straightforward fashion. Users can estimate Bayesian versions of classical SEMs with lavaan syntax, they can obtain state-of-the-art Bayesian fit measures associated with the models, and they can export JAGS code to modify the SEMs as desired. These features and more are illustrated by example, and the parameter expansion approach is explained in detail.

Page views:: 10226. Submitted: 2015-11-17. Published: 2018-06-10.
Paper: blavaan: Bayesian Structural Equation Models via Parameter Expansion     Download PDF (Downloads: 5238)
blavaan_0.3-2.tar.gz: R source package Download (Downloads: 246; 75KB) Replication materials Download (Downloads: 223; 8KB)

DOI: 10.18637/jss.v085.i04

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.