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blatent

Bayesian Latent Variable Models in R

Changelist

Version 0.1.2RC1

• Fixed bug in syntax reading that did not allow for multiple non-list variables on left-hand side of model equation
• Fixed bug in calculation of latent variable summaries for BayesNets specifications
• Implemented check for observed variables that are listed in model but are non-numeric class in input data
• Created two plot functions:
  • plot(model, type=“fit-heatmap”) for heatmaps of discrepancies when PPMC covariance, Pearson correlation, and/or tetrachoric correlation are used
  • plot(model, type=“nonconverged”, PSRFcut = 1.1) for plotting trace and density plots of MCMC chains for model parameters with PSRF > PSRFcut
• Fixed an issue where joint variables could have appeared in model statements as DVs
• Fixed an issue where DVs could be listed multiple times

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.