Metrics: MSE and Success Ratio of Forecasts

In google-trends-v1/gtm: Functions for Economic Nowcasting with Google Trends Data

Description

This function calculates mean squared error (MSE) and the success ratio of a given set of forecasts.

Usage

Metrics(pred=NULL, true=NULL, h=0)

Arguments

pred	vector of forecasts.
true	vector of true values.
h	forecasting horizon used in making the forecasts. Default is 0.

Value

This function returns the same outputs as does the maeforecast function. More specifically, it returns a list containing the following objects:

Forecasts	data matrix, containing the point forecasts, realized values, forecast errors, signs of the forecasts and realized values, and success in predicting the signs.
MSE	numeric, mean squred error of the point forecasts.
SRatio	numeric, success ratio of the point forecasts. Success is claimed when the point forecasts and realized values have the same sign.

google-trends-v1/gtm documentation built on June 5, 2019, 5:13 p.m.