add_ic: Add model fit criteria to model objects

In brms: Bayesian Regression Models using 'Stan'

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. If you are recomputing an already stored criterion with other ... arguments, make sure to set overwrite = TRUE.
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.

brms documentation built on Sept. 23, 2024, 5:08 p.m.