rmase {bvhar} | R Documentation |
Evaluate the Model Based on RMASE (Relative MASE)
Description
This function computes RMASE given prediction result versus evaluation set.
Usage
rmase(x, pred_bench, y, ...)
## S3 method for class 'predbvhar'
rmase(x, pred_bench, y, ...)
## S3 method for class 'bvharcv'
rmase(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
RMASE is the ratio of MAPE of given model and the benchmark one.
Let be the MAPE of the benchmark model.
Then
where is the MASE of our model.
Value
RMASE 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]