## Add model fit criteria to model objects

### Description

Add model fit criteria to model objects

### Usage

## S3 method for class 'brmsfit'
x,
criterion,
model_name = NULL,
overwrite = FALSE,
file = NULL,
force_save = FALSE,
...
)

### Arguments

 x An R object typically of class brmsfit. ... Further arguments passed to the underlying functions computing the model fit criteria. criterion Names of model fit criteria to compute. Currently supported are "loo", "waic", "kfold", "loo_subsample", "bayes_R2" (Bayesian R-squared), "loo_R2" (LOO-adjusted R-squared), and "marglik" (log marginal likelihood). model_name Optional name of the model. If NULL (the default) the name is taken from the call to x. overwrite Logical; Indicates if already stored fit indices should be overwritten. Defaults to FALSE. file Either NULL or a character string. In the latter case, the fitted model object including the newly added criterion values is saved via saveRDS in a file named after the string supplied in file. The .rds extension is added automatically. If x was already stored in a file before, the file name will be reused automatically (with a message) unless overwritten by file. In any case, file only applies if new criteria were actually added via add_criterion or if force_save was set to TRUE. force_save Logical; only relevant if file is specified and ignored otherwise. If TRUE, the fitted model object will be saved regardless of whether new criteria were added via add_criterion.

### Value

An object of the same class as x, but with model fit criteria added for later usage.

### Examples

## Not run:
fit <- brm(count ~ Trt, data = epilepsy)
# add both LOO and WAIC at once
print(fit$criteria$loo)
print(fit$criteria$waic)