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brms 2.20.3
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@paul-buerkner paul-buerkner released this 15 Sep 11:23
· 303 commits to master since this release
v2.20.3
3e47553

New Features

  • Apply the horseshoe and R2D2 priors globally, that is, for all additive predictor terms specified in the same formula. (#1492)
  • Use as.brmsprior to transform objects into a brmsprior. (#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 of get_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.
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