This function calculates the Mean Absolute Error (MAE) between observed and
predicted values.
Arguments
- y
Numeric vector representing the observed values.
- mu
Numeric vector representing the predicted values.
Value
Numeric value representing the MAE.
Details
The MAE is calculated using the formula:
$$MAE = \frac{1}{n} \sum_{i=1}^{n} |y_i - \mu_i|$$
Where \(y\) is the vector of observed values and \(\mu\) is the vector of
predicted values.
Examples
y <- c(1, 2, 3)
mu <- c(1.1, 1.9, 3.2)
mae(y, mu)
#> [1] 0.1333333
