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brms 2.8.0
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@paul-buerkner paul-buerkner released this 21 Mar 15:05
· 1959 commits to master since this release
v2.8.0
6d8d96b

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)
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