paul-buerkner/brms v2.8.0

brms 2.8.0

on GitHub

New Features

• Fit multinomial models via family multinomial. (#463)
• Fit Dirichlet models via family dirichlet. (#463)
• Fit conditional logistic models using the categorical and
  multinomial families together with non-linear formula syntax. (#560)
• Choose the reference category of categorical and related
  families via argument refcat of the corresponding family functions.
• Use different subsets of the data in different univariate parts
  of a multivariate model via addition argument subset. (#360)
• Control the centering of population-level design matrices
  via argument center of brmsformula and related functions.
• Add an update method for brmsfit_multiple objects. (#615)
• Split folds after group in the kfold method. (#619)

Other changes

• Deprecate compare_ic and instead recommend loo_compare for the
  comparison of loo objects to ensure consistency between packages. (#414)
• Use the glue package in the Stan code generation. (#549)
• Introduce mvbind to eventually replace cbind
  in the formula syntax of multivariate models.
• Validate several sampling-related arguments in
  brm before compiling the Stan model. (#576)
• Show evaluated vignettes on CRAN again. (#591)
• Export function get_y which is used to extract response
  values from brmsfit objects.

Bug fixes

• Fix an error when trying to change argument re_formula
  in bayes_R2 thanks to the GitHub user emieldl. (#592)
• Fix occasional problems when running chains in parallel
  via the future package thanks to Jared Knowles. (#579)
• Ensure correct ordering of response categories in ordinal
  models thanks to Jonas Kristoffer Lindelov. (#580)
• Ignore argument resp of marginal_effects in
  univariate models thanks to Vassilis Kehayas. (#589)
• Correctly disable cell-mean coding in varying effects.
• Allow to fix parameter ndt in drift diffusion models.
• Fix Stan code for t-distributed varying effects
  thanks to Ozgur Asar.
• Fix an error in the post-processing of monotonic effects
  occuring for multivariate models thanks to James Rae. (#598)
• Fix lower bounds in truncated discrete models.
• Fix checks of the original data in kfold thanks to
  the GitHub user gcolitti. (#602)
• Fix an error when applying the VarCorr method to
  meta-analytic models thanks to Michael Scharkow. (#616)