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)
```

- 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.

A named vector of model weights.

```
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)
}
```