brms 2.5.0

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.