This function returns a table with several criteria for model comparison.

## Usage

```
model_selection(
...,
criteria = c("npar", "LL", "AIC", "BIC"),
add_form = FALSE
)
```

## Arguments

- ...
One or more objects of class

`RprobitB_fit`

.- criteria
A vector of one or more of the following characters:

`"npar"`

for the number of model parameters (see`npar`

),`"LL"`

for the log-likelihood value (see`logLik`

),`"AIC"`

for the AIC value (see`AIC`

),`"BIC"`

for the BIC value (see`BIC`

),`"WAIC"`

for the WAIC value (also shows its standard error`sd(WAIC)`

and the number`pWAIC`

of effective model parameters, see`WAIC`

),`"MMLL"`

for the marginal model log-likelihood,`"BF"`

for the Bayes factor,`"pred_acc"`

for the prediction accuracy (see`pred_acc`

).

- add_form
Set to

`TRUE`

to add the model formulas.