Calculates the Mean Absolute Error normalized by the mean of the observed values:
Usage
nmae(obs, sim, na.rm = TRUE)
Arguments
- obs
Numeric vector of observed values.
- sim
Numeric vector of simulated (modelled) values.
- na.rm
Logical; should missing values (NA) in either vector be removed
pairwise before computation? Default is TRUE.
Value
numeric; NMAE (dimensionless). Returns NA if the mean of observations is zero.
Details
$$\text{NMAE} = \frac{\frac{1}{n} \sum_{i=1}^n |\text{sim}_i - \text{obs}_i|}{\bar{\text{obs}}}$$
