New Features
- Apply the
horseshoe
andR2D2
priors globally, that is, for all additive predictor terms specified in the same formula. (#1492) - Use
as.brmsprior
to transform objects into abrmsprior
. (#1491) - Use matrix data as non-linear covariates. (#1488)
Other Changes
- Switch to the new array syntax of Stan. This increases the version requirements of Stan to >= 2.26.
- No longer support the
lasso
prior as it is not a good shrinkage prior and incompatible with the newly implemented global shrinkage prior framework. - No longer support multiple deprecated prior options for categorical and multivariate models after around 3 years of deprecation. (#1420)
- Deprecate argument
newdata
ofget_refmodel.brmsfit()
. (#1502) - Disallow binomial models without
trials
argument after several years of deprecation. (#1501)
Bug Fixes
- Fix a long-standing bug in the post-processing of spline models that could lead to non-sensible results if predictions were performed on a different machine than where the model was originally fitted. Old spline models can be repaired via
restructure
. Special thanks to Simon Wood, Ruben Arslan, Marta Kołczyńska, Patrick Hogan, and Urs Kalbitzer. (#1465) - Fix a bunch of minor issues occurring for rare feature combinations.