R: Add model fit criteria to model objects

add_loo {brms} | R Documentation

## Add model fit criteria to model objects

### Description

Deprecated aliases of `add_criterion`.

### Usage

    add_loo(x, model_name = NULL, ...)

    add_waic(x, model_name = NULL, ...)

    add_ic(x, ...)

    ## S3 method for class 'brmsfit'
    add_ic(x, ic = "loo", model_name = NULL, ...)

    add_ic(x, ...) <- value

### Arguments

`x` | An R object typically of class `brmsfit`.
`model_name` | Optional name of the model. If `NULL` (the default) the name is taken from the call to `x`.
`...` | Further arguments passed to the underlying functions computing the model fit criteria.
`ic, value` | Names of model fit criteria to compute. Currently supported are `"loo"`, `"waic"`, `"kfold"`, `"R2"` (R-squared), and `"marglik"` (log marginal likelihood).

### Value

An object of the same class as `x`, but with model fit criteria added for later usage. Previously computed criterion objects will be overwritten.

[Package brms version 2.16.3 Index]