Mean Absolute Error of Models
Compute mean absolute error of models.
performance_mae(model, ...) mae(model, ...)
model
: A model.
...
: Arguments passed down to lme4::bootMer()
or boot::boot()
for bootstrapped ICC, R2, RMSE etc.; for variance_decomposition()
, arguments are passed down to brms::posterior_predict()
.
Numeric, the mean absolute error of model
.
data(mtcars) m <- lm(mpg ~ hp + gear, data = mtcars) performance_mae(m)