Improve the Bayesian generalized latent variable models with non-linear variable and covariate of dichotomous data

In this paper, we develop generalized latent variable models with non-linear variable and covariate. Dichotomous variables and covariates are used in this research, and the Gibbs sampling method (Markov chain Monte-Carlo simulation) is applied for estimation. The deviance information Criterion (DIC) is used as a model comparison statistics. Truncated normal distribution is used to handle the problem of dichotomous data in variables and...