Learn R Programming

brms (version 2.19.0)

loo_compare.brmsfit: Model comparison with the loo package

Description

For more details see loo_compare.

Usage

# S3 method for brmsfit
loo_compare(x, ..., criterion = c("loo", "waic", "kfold"), model_names = NULL)

Value

An object of class "compare.loo".

Arguments

x

A brmsfit object.

...

More brmsfit objects.

criterion

The name of the criterion to be extracted from brmsfit objects.

model_names

If NULL (the default) will use model names derived from deparsing the call. Otherwise will use the passed values as model names.

Details

All brmsfit objects should contain precomputed criterion objects. See add_criterion for more help.

Examples

Run this code
if (FALSE) {
# model with population-level effects only
fit1 <- brm(rating ~ treat + period + carry,
            data = inhaler)
fit1 <- add_criterion(fit1, "waic")

# model with an additional varying intercept for subjects
fit2 <- brm(rating ~ treat + period + carry + (1|subject),
            data = inhaler)
fit2 <- add_criterion(fit2, "waic")

# compare both models
loo_compare(fit1, fit2, criterion = "waic")
}

Run the code above in your browser using DataLab