paul-buerkner/brms v2.6.0

brms 2.6.0

on GitHub

New features

• Fit factor smooth interactions thanks to Simon Wood.
• Specify separate priors for thresholds in ordinal models. (#524)
• Pass additional arguments to rstan::stan_model via argument stan_model_args in brm. (#525)
• Save model objects via argument file in add_ic after adding model fit criteria. (#478)
• Compute density ratios based on MCMC samples via density_ratio.
• Ignore offsets in various post-processing methods via argument offset.
• Update addition terms in formulas via update_adterms.

Other changes

• Improve internal modularization of smooth terms.
• Reduce size of internal example models.

Bug fixes

• Correctly plot splines with factorial covariates via marginal_smooths.
• Allow sampling from priors in intercept only models thanks to Emmanuel Charpentier. (#529)
• Allow logical operators in non-linear formulas.