relmae {bvhar} | R Documentation |
Evaluate the Model Based on RelMAE (Relative MAE)
Description
This function computes RelMAE given prediction result versus evaluation set.
Usage
relmae(x, pred_bench, y, ...)
## S3 method for class 'predbvhar'
relmae(x, pred_bench, y, ...)
## S3 method for class 'bvharcv'
relmae(x, pred_bench, y, ...)
Arguments
x |
Forecasting object to use |
pred_bench |
The same forecasting object from benchmark model |
y |
Test data to be compared. should be the same format with the train data. |
... |
not used |
Details
Let .
RelMAE implements MAE of benchmark model as relative measures.
Let
be the MAE of the benchmark model.
Then
where is the MAE of our model.
Value
RelMAE vector corresponding to each variable.
References
Hyndman, R. J., & Koehler, A. B. (2006). Another look at measures of forecast accuracy. International Journal of Forecasting, 22(4), 679–688.
[Package bvhar version 2.0.1 Index]