paul-buerkner/brms v2.13.0

brms 2.13.0

on GitHub

New Features

• Constrain ordinal thresholds to sum to zero via argument
  threshold in ordinal family functions thanks to the help of
  Marta Kołczyńska.
• Support posterior_linpred as method in conditional_effects.
• Use std_normal in the Stan code for improved efficiency.
• Add arguments cor, id, and cov to the functions gr and
  mm for easy specification of group-level correlation structures.
• Improve workflow to feed back brms-created models which were
  fitted somewhere else back into brms. (#745)
• Improve argument int_conditions in conditional_effects to
  work for all predictors not just interactions.
• Support multiple imputation of data passed via data2 in
  brm_multiple. (#886)
• Fully support the emmeans package thanks to the help
  of Russell V. Lenth. (#418)
• Control the within-block position of Stan code added via
  stanvar using the position argument.

Bug Fixes

• Fix issue in Stan code of models with multiple me terms
  thanks to Chris Chatham. (#855, #856)
• Fix scaling problems in the estimation of ordinal models with
  multiple threshold vectors thanks to Marta Kołczyńska and
  Rok Češnovar.
• Allow usage of std_normal in set_prior thanks to Ben Goodrich. (#867)
• Fix Stan code of distributional models with weibull, frechet,
  or inverse.gaussian families thanks to Brian Huey and Jack Caster. (#879)
• Fix Stan code of models which are truncated and weighted at the
  same time thanks to Michael Thompson. (#884)
• Fix Stan code of multivariate models with custom families and
  data variables passed to the likelihood thanks to Raoul Wolf. (#906)

Other Changes

• Reduce minimal scale of several default priors from 10 to 2.5.
  The resulting priors should remain weakly informative.
• Automatically group observations in gp for increased efficiency.
• Rename parse_bf to brmsterms and deprecate the former function.
• Rename extract_draws to prepare_predictions and deprecate
  the former function.
• Deprecate using a model-dependent rescor default.
• Deprecate argument cov_ranef in brm and related functions.
• Improve several internal interfaces. This should not have any
  user-visible changes.
• Simplify the parameterization of the horseshoe prior thanks
  to Aki Vehtari. (#873)
• Store fixed distributional parameters as regular draws so that
  they behave as if they were estimated in post-processing methods.