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New Mplus paper: Bayesian estimation of single and multilevel models with latent variable interactions. Submitted for publication.
Multiple processor computation for Bayes estimation with logit link for binary variables
Saving of data sets and parameter estimates generated using the BOOTSTRAP option of the ANALYSIS command.
TECH10 is now available for Bayes and WLSMV with standardized residuals for response patterns and univariate and bivariate tables for fuller model fit assessment with categorical variables.
TECH 10 for Bayes includes Pearson posterior predictive checking for univariate and bivariate tables with categorical variables (Asparouhov & Muthen, 2021a).
Random correlations are available for continuous, binary, ordered categorical (ordinal), or combinations of these variable types for TYPE=TWOLEVEL and TYPE=CROSSCLASSIFIED for ESTIMATOR=BAYES (Asparouhov & Muthén, 2023b, Section 9.1).
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