paul-buerkner/brms v1.6.0 on GitHub

New Features

Fit finite mixture models using family
function mixture.
Introduce method pp_mixture to compute
posterior probabilities of mixture component
memberships thanks to a discussion with Stephen Martin.
Implement different ways to sample new levels
of grouping factors in predict and related
methods through argument sample_new_levels.
Thanks to Tom Wallis and Jonah Gabry for a detailed
discussion about this feature.
Add methods loo_predict, loo_linpred,
and loo_predictive_interval for computing
LOO predictions thanks to Aki Vehtari and Jonah Gabry.
Allow using offset in formulas
of non-linear and auxiliary parameters.
Allow sparse matrix multiplication in
non-linear and distributional models.
Allow using the identity link for
all auxiliary parameters.
Introduce argument negative_rt in
predict and posterior_predict to
distinquish responses on the upper and lower
boundary in wiener diffusion models
thanks to Guido Biele.
Introduce method control_params to
conveniently extract control parameters of the
NUTS sampler.
Introduce argument int_conditions in
marginal_effects for enhanced plotting of
two-way interactions thanks to a discussion with
Thomas Kluth.
Improve flexibility of the conditions
argument of marginal_effects.
Extend method stanplot to correctly
handle some new mcmc_ plots of the
bayesplot package.

Improve the update method to
only recompile models when the Stan code
changes.
Warn about divergent transitions when calling
summary or print on brmsfit objects.
Warn about unused variables in argument
conditions when calling marginal_effects.
Export and document several distribution functions
that were previously kept internal.

Fix problems with the inclusion of offsets
occuring for more complicated formulas thanks to
Christian Stock.
Fix a bug that led to invalid Stan code when
sampling from priors in intercept only models thanks
to Tom Wallis.
Correctly check for category specific
group-level effects in non-ordinal models thanks to
Wayne Folta.
Fix problems in pp_check when specifying
argument newdata together with arguments
x or group.
Rename the last column in the output of
hypothesis to "star" in order to avoid
problems with zero length column names thanks to
the GitHub user puterleat.
Add a missing new line statement at the end
of the summary output thanks to Thomas Kluth.