blavaan: Bayesian Structural Equation Models via Parameter Expansion

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 t...

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Main Authors: Edgar C. Merkle, Yves Rosseel
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2018-06-01
Series:Journal of Statistical Software
Subjects:
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/2441
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author Edgar C. Merkle
Yves Rosseel
author_facet Edgar C. Merkle
Yves Rosseel
author_sort Edgar C. Merkle
collection DOAJ
description 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.
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spelling doaj.art-464811ee91cb43b1bb06581b23e766432022-12-21T17:24:55ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602018-06-0185113010.18637/jss.v085.i041222blavaan: Bayesian Structural Equation Models via Parameter ExpansionEdgar C. MerkleYves RosseelThis 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.https://www.jstatsoft.org/index.php/jss/article/view/2441Bayesian SEMstructural equation modelsJAGSMCMClavaan
spellingShingle Edgar C. Merkle
Yves Rosseel
blavaan: Bayesian Structural Equation Models via Parameter Expansion
Journal of Statistical Software
Bayesian SEM
structural equation models
JAGS
MCMC
lavaan
title blavaan: Bayesian Structural Equation Models via Parameter Expansion
title_full blavaan: Bayesian Structural Equation Models via Parameter Expansion
title_fullStr blavaan: Bayesian Structural Equation Models via Parameter Expansion
title_full_unstemmed blavaan: Bayesian Structural Equation Models via Parameter Expansion
title_short blavaan: Bayesian Structural Equation Models via Parameter Expansion
title_sort blavaan bayesian structural equation models via parameter expansion
topic Bayesian SEM
structural equation models
JAGS
MCMC
lavaan
url https://www.jstatsoft.org/index.php/jss/article/view/2441
work_keys_str_mv AT edgarcmerkle blavaanbayesianstructuralequationmodelsviaparameterexpansion
AT yvesrosseel blavaanbayesianstructuralequationmodelsviaparameterexpansion