paul-buerkner/brms v2.10.0

brms 2.10.0

on GitHub

New Features

• Improve convergence diagnostics in the summary output. (#712)
• Use primitive Stan GLM functions whenever possible. (#703)
• Pass real and integer data vectors to custom families via
  the addition arguments vreal and vint. (#707)
• Model compound symmetry correlations via cor_cosy. (#403)
• Predict sigma in combination with several
  autocorrelation structures. (#403)
• Use addition term rate to conveniently handle
  denominators of rate responses in log-linear models.
• Fit BYM2 CAR models via cor_car thanks to the case study
  and help of Mitzi Morris.

Other Changes

• Substantially improve the sampling efficiency of SAR models
  thanks to the GitHub user aslez. (#680)
• No longer allow changing the boundaries
  of autocorrelation parameters.
• Set the number of trials to 1 by default in
  marginal_effects if not specified otherwise. (#718)
• Use non-standard evaluation for addition terms.
• Name temporary intercept parameters more consistently
  in the Stan code.

Bug Fixes

• Fix problems in the post-processing of me terms with
  grouping factors thanks to the GitHub user tatters. (#706)
• Allow grouping variables to start with a dot
  thanks to Bruno Nicenboim. (#679)
• Allow the horseshoe prior in categorical and
  related models thanks to the Github user tatters. (#678)
• Fix extraction of prior samples for overall intercepts in
  prior_samples thanks to Jonas Kristoffer Lindelov. (#696)
• Allow underscores to be used in category names
  of categorical responses thanks to Emmanuel Charpentier. (#672)
• Fix Stan code of multivariate models with multi-membership
  terms thanks to the Stan discourse user Pia.
• Improve checks for non-standard variable names
  thanks to Ryan Holbrook. (#721)
• Fix problems when plotting facetted spaghetti plots
  via marginal_smooths thanks to Gavin Simpson. (#740)