mae: Calculate Mean Absolute Error (MAE)

In flexCountReg: Estimation of a Variety of Count Regression Models

Calculate Mean Absolute Error (MAE)

Description

This function calculates the Mean Absolute Error (MAE) between observed and predicted values.

Usage

mae(y, mu)

Arguments

y	Numeric vector representing the observed values.
mu	Numeric vector representing the predicted values.

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.

Value

Numeric value representing the MAE.

Examples

y <- c(1, 2, 3)
mu <- c(1.1, 1.9, 3.2)
mae(y, mu)

flexCountReg documentation built on Jan. 20, 2026, 1:06 a.m.