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shinystan 2.6.0

• Initial support for CmdStanMCMC objects from CmdStanR

• Moved rsconnect package from Imports to Suggests as requested by CRAN

shinystan 2.5.0

• New website with online documentation: https://mc-stan.org/shinystan

• Fixed problem with extracting info from fits reconstructed from CSV files (#128,#158), thanks to @martinmodrak

shinystan 2.4.0

• launch_shinystan is now an S3 generic with methods. This allows developers of packages that use shinystan to create their own launch_shinystan methods instead of using a different function name or creating a naming conflict.

shinystan 2.3.0

Fixes

• Fix various issues resulting in errors for models fit using static HMC (thanks to Cole Monnahan).

• Deprecate burnin argument to as.shinystan. Use warmup instead. Only relevant for models not fit using Stan.

New features

• Add NUTS energy diagnostic plots to Diagnose page

• Allowing passing sampler_params to as.shinystan. This makes it possible to display sampler diagnositcs for HMC/NUTS even if not using Stan’s implementation of those algorithms (thanks to Cole Monnahan).

shinystan 2.2.1

• Better compatibility with latest releases of ‘shinyjs’ and ‘DT’ packages
• shinystan::launch_shinystan_demo() now works without first having to load the package with a call to library
• Unless running on a server, the app now stops running when browser tab is closed

shinystan 2.2.0-1

• Fix bug in deploy_shinystan preventing some ShinyStan apps from being deployed

shinystan 2.2.0

• Add optional argument pars to the as.shinystan method for stanfit objects, allowing a subset of parameters to be selected for inclusion in the resulting shinystan object.
• Introduce drop_parameters function for removing parameters from a shinystan object (useful for very large objects when you only want to look at a subset of parameters).
• Add rstanarm to Suggests (in the DESCRIPTION file) so rstanarm::pp_check can be called.
• Allow selecting yrep from global environment for PPcheck
• Change as.shinystan to S4 generic with methods
• Add rsconnect to Imports in DESCRIPTION.
• Rename some of the slots in shinystan objects. The update_sso function can be used to ensure that old shinystan objects have an internal structure compatible with this release.
• Improve line coverage of api tests

shinystan 2.1.0

• Compatibility with recent ggplot2 update
• Select parameters via regular expressions in parameters plot (‘Estimate’ page)
• Fix error when selecting an entire parameter group in parameters plot (‘Estimate’ page)

shinystan 2.0.1

• Fixes small bugs and typos
• Adds support for stanreg objects
• Moves ggplot2 from Depends to Imports

shinystan 2.0.0 (major update, initial CRAN release)

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).

New names

• The name of the R package is shinystan and the app/GUI is ShinyStan.

Deploy ShinyStan apps to shinyapps.io (RStudio’s ShinyApps service)

• The deploy_shinystan function lets you easily deploy 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.

Some of the new features in ShinyStan app

• 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

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.
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