paul-buerkner/brms v2.9.0

brms 2.9.0

on GitHub

New Features

• Specify non-linear ordinal models. (#623)
• Allow to fix thresholds in ordinal mixture models (#626)
• Use the softplus link function in various families. (#622)
• Use QR decomposition of design matrices via argument decomp of brmsformula thanks to the help of Ben Goodrich. (#640)
• Define argument sparse separately for each model formula.
• Allow using bayes_R2 and loo_R2 with ordinal models. (#639)
• Support cor_arma in non-normal models. (#648)

Other Changes

• Change the parameterization of monotonic effects to improve their interpretability. (#578)
• No longer support the cor_arr and cor_bsts correlation structures after a year of deprecation.
• Refactor internal evaluation of special predictor terms.
• Improve penality of splines thanks to Ben Goodrich and Ruben Arslan.

Bug Fixes

• Fix a problem when applying marginal_effects to measurement error models thanks to Jonathan A. Nations. (#636)
• Fix computation of log-likelihood values for weighted mixture models.
• Fix computation of fitted values for truncated lognormal and weibull models.
• Fix checking of response boundaries for models with missing values thanks to Lucas Deschamps.
• Fix Stan code of multivariate models with both residual correlations and missing value terms thanks to Solomon Kurz.
• Fix problems with interactions of special terms when extracting variable names in marginal_effects.
• Allow compiling a model in brm_multiple without sampling thanks to Will Petry. (#671)