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Changelog

Source: NEWS.md

shinystan 2.6.0

CRAN release: 2022-03-02

  • Initial support for CmdStanMCMC objects from CmdStanR

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

shinystan 2.5.0

CRAN release: 2018-05-01

shinystan 2.4.0

CRAN release: 2017-08-02

  • 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

CRAN release: 2017-02-01

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

CRAN release: 2016-08-31

  • 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

CRAN release: 2016-05-25

  • 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

CRAN release: 2016-01-06

  • 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

CRAN release: 2015-09-17

  • 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)

CRAN release: 2015-08-10

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