loo v2.6.0

New features

• New loo_predictive_metric() function for computing estimates of leave-one-out
  predictive metrics: mean absolute error, mean squared error and root mean
  squared error for continuous predictions, and accuracy and balanced accuracy for
  binary classification. (#202, @LeeviLindgren)

• New functions crps(), scrps(), loo_crps(), and loo_scrps() for
  computing the (scaled) continuously ranked probability score. (#203, @LeeviLindgren)

• New vignette "Mixture IS leave-one-out cross-validation for high-dimensional Bayesian models." This is a demonstration of the mixture estimators proposed by Silva and Zanella (2022). (#210)

Bug fixes

• Minor fix to model names displayed by loo_model_weights() to make them consistent with loo_compare(). (#217)