Changes in version 2.7.0.9000 Changes in version 2.7.0 (2025-12-12) - as.shinystan() compatibility with cmdstanr::as_cmdstan_fit() by @jgabry in https://github.com/stan-dev/shinystan/pull/207 - Change size to linewidth (except for geom_point and element_text) by @jgabry in https://github.com/stan-dev/shinystan/pull/205 - Added pkgdown workflow and new theme by @VisruthSK in https://github.com/stan-dev/shinystan/pull/206 - Added logo to be displayed in r-universe by @avehtari in https://github.com/stan-dev/shinystan/pull/201 Changes in version 2.6.0 (2022-03-02) - Initial support for CmdStanMCMC objects from CmdStanR - Moved rsconnect package from Imports to Suggests as requested by CRAN Changes in version 2.5.0 (2018-05-01) - 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 Changes in version 2.4.0 (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. Changes in version 2.3.0 (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). Changes in version 2.2.1 (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 Changes in version 2.2.0-1 - Fix bug in deploy_shinystan preventing some ShinyStan apps from being deployed Changes in version 2.2.0 (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 Changes in version 2.1.0 (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) Changes in version 2.0.1 (2015-09-17) - Fixes small bugs and typos - Adds support for stanreg objects - Moves ggplot2 from Depends to Imports Changes in version 2.0.0 (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