performance: Calculate performance of prediction or forecasting

In zaenalium/gstar: Generalized Space-Time Autoregressive Model

Description

Calculate performance of prediction or forecasting

Usage

performance(object, testing = NULL, ...)

Arguments

object	an object of class "gstar".
testing	a dataframe or matrix or xts object that contain testing data (outsample data). Please be noted, if you use differencing in the model estimation, you do not need difference your data because we already cover that in this function
...	Other arguments

Value

• MSE fol all data - Mean Square Error for all the data combined

• MSE fol each location - Mean Square Error for each spatial location

• MAPE fol all data - Mean Absolute Percentage Error for all the data combined

• MAPE fol each location - Mean Absolute Percentage Error for each spatial location

zaenalium/gstar documentation built on June 28, 2019, 10:32 a.m.