mape: Evaluate the Model Based on MAPE (Mean Absolute Percentage...

In bvhar: Bayesian Vector Heterogeneous Autoregressive Modeling

Evaluate the Model Based on MAPE (Mean Absolute Percentage Error)

Description

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

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)

Value

MAPE 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.

bvhar documentation built on April 4, 2025, 5:22 a.m.