paul-buerkner/brms v2.12.0

brms 2.12.0

on GitHub

New Features

• Fix parameters to constants via the prior argument. (#783)
• Specify autocorrelation terms directly in the model formula. (#708)
• Translate integer covariates in non-linear formulas to integer
  arrays in Stan.
• Estimate sigma in combination with fixed correlation matrices
  via autocorrelation term fcor.
• Use argument data2 in brm and related functions to pass
  data objects which cannot be passed via data. The usage of data2
  will be extended in future versions.
• Compute pointwise log-likelihood values via log_lik for
  non-factorizable Student-t models. (#705)

Bug Fixes

• Fix output of posterior_predict for multinomial models
  thanks to Ivan Ukhov.
• Fix selection of group-level terms via re_formula in
  multivariate models thanks to Maxime Dahirel. (#834)
• Enforce correct ordering of terms in re_formula
  thanks to @ferberkl. (#844)
• Fix post-processing of multivariate multilevel models
  when multiple IDs are used for the same grouping factor
  thanks to @lott999. (#835)
• Store response category names of ordinal models in the
  output of posterior_predict again thanks to Mattew Kay. (#838)
• Handle NA values more consistently in posterior_table
  thanks to Anna Hake. (#845)
• Fix a bug in the Stan code of models with multiple monotonic
  varying effects across different groups thanks to Julian Quandt.

Other Changes

• Rename offset variables to offsets in the generated Stan
  code as the former will be reserved in the new stanc3 compiler.