paul-buerkner/brms v2.11.0

brms 2.11.0

on GitHub

New Features

• Support grouped ordinal threshold vectors via addition
  argument resp_thres. (#675)
• Support method loo_subsample for performing approximate
  leave-one-out cross-validation for large data.
• Allow storing more model fit critera via add_criterion. (#793)

Bug Fixes

• Fix prediction uncertainties of new group levels for
  sample_new_levels = "uncertainty" thanks to Dominic Magirr. (#779)
• Fix problems when using pp_check on
  censored models thanks to Andrew Milne. (#744)
• Fix error in the generated Stan code of multivariate
  zero_inflated_binomial models thanks to Raoul Wolf. (#756)
• Fix predictions of spline models when using addition
  argument subset thanks to Ruben Arslan.
• Fix out-of-sample predictions of AR models when predicting
  more than one step ahead.
• Fix problems when using reloo or kfold with CAR models.
• Fix problems when using fitted(..., scale = "linear") with
  multinomial models thanks to Santiago Olivella. (#770)
• Fix problems in the as.mcmc method for thinned models
  thanks to @hoxo-m. (#811)
• Fix problems in parsing covariates of special effects terms
  thanks to Riccardo Fusaroli (#813)

Other Changes

• Rename marginal_effects to conditional_effects and
  marginal_smooths to conditional_smooths. (#735)
• Rename stanplot to mcmc_plot.
• Add method pp_expect as an alias of fitted. (#644)
• Model fit criteria computed via add_criterion are now
  stored in the brmsfit$criteria slot.
• Deprecate resp_cat in favor of resp_thres.
• Deprecate specifying global priors on regression coefficients
  in categorical and multivariate models.
• Improve names of weighting methods in model_weights.
• Deprecate reserved variable intercept in favor of Intercept.
• Deprecate argument exact_match in favor of fixed.
• Deprecate functions add_loo and add_waic
  in favor of add_criterion.