paul-buerkner/brms v1.10.2

brms 1.10.2

on GitHub

new features

• Allow setting priors on noise-free
  variables specified via function me.
• Add arguments Ksub, exact_loo
  and group to method kfold for
  defining omitted subsets according to a
  grouping variable or factor.
• Allow addition argument se
  in skew_normal models.

bug fixes

• Ensure correct behavior of horseshoe
  and lasso priors in multivariate models
  thanks to Donald Williams.
• Allow using identity links on
  all parameters of the wiener family
  thanks to Henrik Singmann. (#276)
• Use reasonable dimnames in the output
  of fitted when returning linear predictors
  of ordinal models thanks to the GitHub user atrolle. (#274)
• Fix problems in marginal_smooths
  occuring for multi-membership models thanks to
  Hans Tierens.