brms 1.10.0

new features

• Rebuild monotonic effects from scratch
  to allow specifying interactions with other
  variables. (#239)
• Introduce methods posterior_linpred
  and posterior_interval for consistency
  with other model fitting packages based on
  Stan.
• Introduce function theme_black
  providing a black ggplot2 theme.
• Specify special group-level effects within
  the same terms as ordinary group-level effects.
• Add argument prob to
  summary, which allows to control the
  width of the computed uncertainty intervals. (#259)
• Add argument newdata to the
  kfold method.
• Add several arguments to the plot
  method of marginal_effects to improve
  control over the appearences of the plots.

other changes

• Use the same noise-free variables
  for all model parts in measurement error models. (#257)
• Make names of local-level terms used
  in the cor_bsts structure more informative.
• Store the autocor argument
  within brmsformula objects.
• Store posterior and prior samples in separate
  slots in the output of method hypothesis.
• No longer change the default theme of
  ggplot2 when attaching brms. (#256)
• Make sure signs of estimates are not dropped
  when rounding to zero in summary.brmsfit. (#263)
• Refactor parts of extract_draws
  and linear_predictor to be more consistent
  with the rest of the package.

bug fixes

• Do not silence the Stan parser
  when calling brm to get informative
  error messages about invalid priors.
• Fix problems with spaces in priors
  passed to set_prior.
• Handle non data.frame objects
  correctly in hypothesis.default.
• Fix a problem relating to the colour
  of points displayed in marginal_effects.