Release brms 1.1.0 · paul-buerkner/brms

new features

Estimate monotonic group-level effects.
Estimate category specific group-level effects.
Allow t2 smooth terms based on
multiple covariates.
Estimate interval censored data via the
addition argument cens in the model formula.
Allow to compute residuals also based
on predicted values instead of fitted values.

Use the prefix bcs in parameter names
of category specific effects and the prefix bm
in parameter names of monotonic effects (instead
of the prefix b) to simplify their identifaction.
Ensure full compatibility with
ggplot2 version 2.2.

Fix a bug that could result in incorrect
threshold estimates for cumulative and
sratio models thanks to Peter Congdon.
Fix a bug that sometimes kept distributional
gamma models from being compiled
thanks to Tim Beechey.
Fix a bug causing an error in predict
and related methods when two-level factors or
logical variables were used as covariates in
non-linear models thanks to Martin Schmettow.
Fix a bug causing an error when passing
lists to additional arguments of smoothing
functions thanks to Wayne Folta.
Fix a bug causing an error in the
prior_samples method for models with
multiple group-level terms that refer to the same
grouping factor thanks to Marco Tullio Liuzza.
Fix a bug sometimes causing an error when
calling marginal_effects for weighted models.