Model averaging via stacking or pseudo-BMA weighting. — loo_model

Compute model weights for brmsfit objects via stacking or pseudo-BMA weighting. For more details, see loo::loo_model_weights.

# S3 method for brmsfit
loo_model_weights(x, ..., model_names = NULL)

Arguments

x: A brmsfit object.
...: More brmsfit objects or further arguments passed to the underlying post-processing functions. In particular, see prepare_predictions for further supported arguments.
model_names: If NULL (the default) will use model names derived from deparsing the call. Otherwise will use the passed values as model names.

Value

A named vector of model weights.

Examples

if (FALSE) {
# model with population-level effects only
fit1 <- brm(rating ~ treat + period + carry,
            data = inhaler, family = "gaussian")
# model with an additional varying intercept for subjects
fit2 <- brm(rating ~ treat + period + carry + (1|subject),
            data = inhaler, family = "gaussian")
loo_model_weights(fit1, fit2)
}