Mean Absolute Error of Models — performance_mae • performance

Compute mean absolute error of models.

Usage

performance_mae(model, ...)

mae(model, ...)

Arguments

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().

Value

Numeric, the mean absolute error of model.

Examples

data(mtcars)
m <- lm(mpg ~ hp + gear, data = mtcars)
performance_mae(m)
#> [1] 2.545822