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performance (version 0.12.4)

performance_mae: Mean Absolute Error of Models

Description

Compute mean absolute error of models.

Usage

performance_mae(model, ...)

mae(model, ...)

Value

Numeric, the mean absolute error of 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().

Examples

Run this code
data(mtcars)
m <- lm(mpg ~ hp + gear, data = mtcars)
performance_mae(m)

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