In the social sciences, it is often useful to introduce latent variables and use structural equation modeling to quantify relations among observable and latent variables. This paper presents a manual, describing how to estimate structural equation models in a Bayesian approach with R. Parameter...

This paper considers finite mixtures of structural equation models with nonlinear effects of exogenous latent variables and nonrecursive relations among endogenous latent variables. A Bayesian approach is developed to analyze this kind of models. In order to cope with the label switching...