New website with online documentation: http://mc-stan.org/shinystan
Fixed problem with extracting info from fits reconstructed from CSV files (#128,#158), thanks to @martinmodrak
launch_shinystanis now an S3 generic with methods. This allows developers of packages that use shinystan to create their own
launch_shinystanmethods instead of using a different function name or creating a naming conflict.
Fix various issues resulting in errors for models fit using static HMC (thanks to Cole Monnahan).
burnin argument to
warmup instead. Only relevant for models not fit using Stan.
Add NUTS energy diagnostic plots to Diagnose page
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::launch_shinystan_demo()now works without first having to load the package with a call to
deploy_shinystanpreventing some ShinyStan apps from being deployed
as.shinystanmethod for stanfit objects, allowing a subset of parameters to be selected for inclusion in the resulting shinystan object.
drop_parametersfunction for removing parameters from a shinystan object (useful for very large objects when you only want to look at a subset of parameters).
rstanarm::pp_checkcan be called.
yrepfrom global environment for PPcheck
as.shinystanto S4 generic with methods
update_ssofunction can be used to ensure that old shinystan objects have an internal structure compatible with this 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).
deploy_shinystanfunction 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.