blavaan : Bayesian structural equation models via parameter expansion
- Author
- Edgar C Merkle and Yves Rosseel (UGent)
- Organization
- 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.
- Keywords
- MEASUREMENT INVARIANCE, PRIOR DISTRIBUTIONS, PRIOR SENSITIVITY, Bayesian SEM, structural equation models, JAGS, MCMC, lavaan
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8591702
- MLA
- Merkle, Edgar C., and Yves Rosseel. “Blavaan : Bayesian Structural Equation Models via Parameter Expansion.” JOURNAL OF STATISTICAL SOFTWARE, vol. 85, no. 4, 2018, pp. 1–30, doi:10.18637/jss.v085.i04.
- APA
- Merkle, E. C., & Rosseel, Y. (2018). blavaan : Bayesian structural equation models via parameter expansion. JOURNAL OF STATISTICAL SOFTWARE, 85(4), 1–30. https://doi.org/10.18637/jss.v085.i04
- Chicago author-date
- Merkle, Edgar C, and Yves Rosseel. 2018. “Blavaan : Bayesian Structural Equation Models via Parameter Expansion.” JOURNAL OF STATISTICAL SOFTWARE 85 (4): 1–30. https://doi.org/10.18637/jss.v085.i04.
- Chicago author-date (all authors)
- Merkle, Edgar C, and Yves Rosseel. 2018. “Blavaan : Bayesian Structural Equation Models via Parameter Expansion.” JOURNAL OF STATISTICAL SOFTWARE 85 (4): 1–30. doi:10.18637/jss.v085.i04.
- Vancouver
- 1.Merkle EC, Rosseel Y. blavaan : Bayesian structural equation models via parameter expansion. JOURNAL OF STATISTICAL SOFTWARE. 2018;85(4):1–30.
- IEEE
- [1]E. C. Merkle and Y. Rosseel, “blavaan : Bayesian structural equation models via parameter expansion,” JOURNAL OF STATISTICAL SOFTWARE, vol. 85, no. 4, pp. 1–30, 2018.
@article{8591702,
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.}},
author = {{Merkle, Edgar C and Rosseel, Yves}},
issn = {{1548-7660}},
journal = {{JOURNAL OF STATISTICAL SOFTWARE}},
keywords = {{MEASUREMENT INVARIANCE,PRIOR DISTRIBUTIONS,PRIOR SENSITIVITY,Bayesian SEM,structural equation models,JAGS,MCMC,lavaan}},
language = {{eng}},
number = {{4}},
pages = {{1--30}},
title = {{blavaan : Bayesian structural equation models via parameter expansion}},
url = {{http://doi.org/10.18637/jss.v085.i04}},
volume = {{85}},
year = {{2018}},
}
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