performance_mae: Mean Absolute Error of Models

In performance: Assessment of Regression Models Performance

Mean Absolute Error of Models

Description

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)

performance documentation built on April 4, 2025, 1:44 a.m.