Model comparison with the loo package
For more details see loo_compare.
## S3 method for class 'brmsfit'
loo_compare(x, ..., criterion = c("loo", "waic", "kfold"), model_names = NULL)x |
A |
... |
More |
criterion |
The name of the criterion to be extracted
from |
model_names |
If |
All brmsfit objects should contain precomputed
criterion objects. See add_criterion for more help.
An object of class "compare.loo".
## Not run:
# 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")
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