brms (version 2.19.0)

loo_model_weights.brmsfit: Model averaging via stacking or pseudo-BMA weighting.

Description

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

Usage

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

Value

A named vector of model weights.

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.

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)
}