paul-buerkner/brms v2.22.0

brms 2.22.0

on GitHub

New Features

• Support different Gaussian process kernels in gp terms. (#234)
• Support stratified cox models via the new addition term bhaz. (#1489)
• Support futures for parallelization in the cmdstanr backend. (#1684)
• Add method loo_epred thanks to Aki Vehtari. (#1641)
• Add priorsense support via create_priorsense_data.brmsfit
  thanks to Noa Kallioinen. (#1354)
• Vectorize censored log likelihoods in the Stan code when possible. (#1657)
• Force Stan to activate threading without altering the Stan code
  via argument force of function threading. (#1549)
• Support moment matching loo prediction methods. (#1674)

Bug Fixes

• Fix a bug that led to partially duplicated Stan code in multilevel terms
  thanks to Henrik Singmann. (#1651)
• Fix problems with parallel executions of post-processing functions
  sometimes leaving unused R instances behind. Thanks to Andrew Johnson,
  Aki Vehtari, and Noa Kallioinen. (#1658)
• Fix several minor bugs. (#1648, #1644, #1672, #1642, #1634, #1666, #1664)

Other Changes

• Refactor some of the internal code base to avoid evaluating
  many data-dependent quantities several times. (#1653)
• Smartly access internal functions when evaluating non-linear formulas. (#1635)
• Improve the documentation in several places.
• Make argument loo optional in loo_moment_match.
• Change the output format of loo_predict and loo_linpred to be
  more consistent with other post-processing functions.