rmape {bvhar}

Evaluate the Model Based on RMAPE (Relative MAPE)

Description

This function computes RMAPE given prediction result versus evaluation set.

Usage

rmape(x, pred_bench, y, ...)

## S3 method for class 'predbvhar'
rmape(x, pred_bench, y, ...)

## S3 method for class 'bvharcv'
rmape(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

RMAPE is the ratio of MAPE of given model and the benchmark one. Let MAPE_b be the MAPE of the benchmark model. Then

RMAPE = \frac{mean(MAPE)}{mean(MAPE_b)}

where MAPE is the MAPE of our model.

Value

RMAPE 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.