paul-buerkner/brms v1.4.0 on GitHub

new features

Fit quantile regression models via family
asym_laplace (asymmetric Laplace distribution).
Specify non-linear models in a (hopefully) more
intuitive way using brmsformula.
Fix auxiliary parameters to certain values
through brmsformula.
Allow family to be specified in
brmsformula.
Introduce family frechet for modelling
strictly positive responses.
Allow truncation and censoring at the same time.
Introduce function prior_ allowing
to specify priors using one-sided formulas or quote.
Pass priors to Stan directly without
performing any checks by setting check = FALSE
in set_prior.
Introduce method nsamples to extract
the number of posterior samples.
Export the main formula parsing function
parse_bf.
Add more options to customize two-dimensional surface
plots created by marginal_effects or marginal_smooths.

Change structure of brmsformula
objects to be more reliable and easier to extend.
Make sure that parameter nu never
falls below 1 to reduce convergence problems
when using family student.
Deprecate argument nonlinear.
Deprecate family geometric.
Rename cov_fixed to cor_fixed.
Make handling of addition terms more transparent
by exporting and documenting related functions.
Refactor helper functions of the fitted
method to be easier to extend in the future.
Remove many units tests of internal functions
and add tests of user-facing functions instead.
Import some generics from nlme instead
of lme4 to remove dependency on the latter one.
Do not apply structure to NULL
anymore to get rid of warnings in R-devel.

Fix problems when fitting smoothing terms
with factors as by variables thanks to
Milani Chaloupka.
Fix a bug that could cause some monotonic
effects to be ignored in the Stan code thanks
to the GitHub user bschneider.
Make sure that the data of models with
only a single observation are compatible with
the generated Stan code.
Handle argument algorithm
correctly in update.brmsfit.
Fix a bug sometimes causing an error in
marginal_effects when using family
wiener thanks to Andrew Ellis.
Fix problems in fitted when applied
to zero_inflated_beta models thanks to
Milani Chaloupka.
Fix minor problems related to the prediction
of autocorrelated models.
Fix a few minor bugs related to the backwards
compatibility of multivariate and related models
fitted with brms < 1.0.0.