github paul-buerkner/brms v2.5.0
brms 2.5.0

latest releases: v2.21.0, v2.20.3, v2.19.0...
5 years ago

New features

  • Improve marginal_effects to better display ordinal and categorical models via argument categorical. (#491, #497)
  • Improve method kfold to offer more options for specifying omitted subsets. (#510)
  • Compute estimated values of non-linear parameters via argument nlpar in method fitted.
  • Disable automatic cell-mean coding in model formulas without an intercept via argument cmc of brmsformula and related functions thanks to Marie Beisemann.
  • Allow using the bridge_sampler method even if prior samples are drawn within the model. (#485)
  • Specify post-processing functions of custom families directly in custom_family.
  • Select a subset of coefficients in fixef, ranef, and coef via argument pars. (#520)
  • Allow to overwrite already stored fit indices when using add_ic.

Other changes

  • Ignore argument resp when post-processing univariate models thanks to Ruben Arslan. (#488)
  • Deprecate argument ordinal of marginal_effects. (#491)
  • Deprecate argument exact_loo of kfold. (#510)
  • Deprecate usage of binomial families without specifying trials.

Bug fixes

  • Correctly sample from LKJ correlation priors thanks to Donald Williams.
  • Remove stored fit indices when calling update on brmsfit objects thanks to Emmanuel Charpentier. (#490)
  • Fix problems when predicting a single data point using spline models thanks to Emmanuel Charpentier. (#494)
  • Set Post.Prob = 1 if Evid.Ratio = Inf in method hypothesis thanks to Andrew Milne. (#509)
  • Ensure correct handling of argument file in brm_multiple.

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