blavaan:通过参数展开的贝叶斯结构方程模型

E. Merkle, Y. Rosseel
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引用次数: 215

摘要

本文介绍了blavaan,这是一个R包,用于通过JAGS估计贝叶斯结构方程模型(sem)并总结结果。本文还描述了一种新的参数展开方法,用于估计具有残差协方差的特定类型的模型,这有助于在JAGS中对这些模型进行估计。该方法和软件旨在以简单的方式为用户提供估计贝叶斯sem的一般方法,包括经典的和新颖的。用户可以使用lavaan语法估计经典sem的贝叶斯版本,他们可以获得与模型相关的最先进的贝叶斯拟合度量,并且可以导出JAGS代码以根据需要修改sem。通过实例说明了这些特点,并详细说明了参数展开方法。
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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 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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