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

In paul-buerkner/brms: Bayesian Regression Models using 'Stan'

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 class '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

## Not run: 
# 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)

## End(Not run)

paul-buerkner/brms documentation built on April 14, 2024, 5:39 p.m.