Version 2.0.0 has a new look, a new(ish) name, and a lot of new functionality. Many bugs have also been fixed (see GitHub issue tracker).
- The name of the R package is shinystan and the app/GUI is ShinyStan.
- The 'deploy_shinystan' function lets you easily deploying ShinyStan apps to RStudio's shinyapps.io for any of your models. Each of your apps (i.e. each of your models) will have a unique url.
- Rebranding (new look to reflect changes to Stan logo and website)
- HMC/NUTS diagnostic plots ('Diagnose' page, 'HMC/NUTS (plots)' tab)
- Specify transformations (e.g. log, logit, sqrt, etc.) for density, histogram, bivariate, trivariate plots (on 'Explore' page) and HMC/NUTS diagnostics plots.
- Many plots can now also be saved as pdf
- Bivariate scatterplot plot also shows divergent transitions and max treedepth saturation (on 'Explore' page)
- More detailed glossary entries
- (Experimental) Introduce basic graphical posterior predictive checking ('Diagnose' page, 'PPcheck' tab) for limited class of models
- Option to show partial autocorrelations ('Diagnose' page, 'Autocorrelation' tab)
- Better customization of of posterior summary statistics table
- Many improvements to GUI design