paul-buerkner/brms v1.10.0 on GitHub

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.

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.

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.