This function computes MSE given prediction result versus evaluation set.
Usage
mse(x, y, ...)
# S3 method for predbvhar
mse(x, y, ...)
# S3 method for bvharcv
mse(x, y, ...)
Arguments
- x
Forecasting object
- y
Test data to be compared. should be the same format with the train data.
- ...
not used
Value
MSE vector corresponding to each variable.
Details
Let \(e_t = y_t - \hat{y}_t\). Then
$$MSE = mean(e_t^2)$$
MSE is the most used accuracy measure.
References
Hyndman, R. J., & Koehler, A. B. (2006). Another look at measures of forecast accuracy. International Journal of Forecasting, 22(4), 679–688.
