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