This function computes MAPE given prediction result versus evaluation set.
     
    
    Usage
    mape(x, y, ...)
# S3 method for class 'predbvhar'
mape(x, y, ...)
# S3 method for class 'bvharcv'
mape(x, y, ...)
 
    
    Arguments
- x
- Forecasting object 
- y
- Test data to be compared. should be the same format with the train data. 
- ...
- not used 
 
    
    Value
    MAPE vector corresponding to each variable.
     
    
    Details
    Let \(e_t = y_t - \hat{y}_t\).
Percentage error is defined by \(p_t = 100 e_t / Y_t\) (100 can be omitted since comparison is the focus).
$$MAPE = mean(\lvert p_t \rvert)$$
     
    
    References
    Hyndman, R. J., & Koehler, A. B. (2006). Another look at measures of forecast accuracy. International Journal of Forecasting, 22(4), 679-688.