Compares multiple fitted models using information criteria and simple predictive metrics. Preference order for criterion = "auto" is: LOO (from CPO) > WAIC > DIC. When information criteria are unavailable it falls back to predictive metrics (RMSE/MAE).
compare_models(
...,
criterion = c("auto", "loo", "waic", "dic", "all"),
compare_predictions = TRUE,
weights = TRUE
)An object of class "qbrms_comparison".
Two or more fitted model objects (qbrms_fit or qbrmO_fit)
One of "auto","loo","waic","dic","all"
Logical; if TRUE, include RMSE/MAE comparison
Logical; if TRUE, compute weights when a single criterion is used