accuracy: Accuracy measures for forecast model

In ttnsdcn/forecast-package: Forecasting functions for time series

Description

Returns range of summary measures of the forecast accuracy. If x is provided, the function measures out-of-sample forecast accuracy based on x-f. If x is not provided, the function produces in-sample accuracy measures of the one-step forecasts based on f["x"]-fitted(f). All measures are defined and discussed in Hyndman and Koehler (2006).

Usage

accuracy(f, x, test=1:length(x))

Arguments

f	An object of class "forecast", or a numerical vector containing forecasts.
x	An optional numerical vector containing actual values of the same length as object.
test	Indicator of which elements of x and f to test.

Value

Vector giving forecast accuracy measures.

Author(s)

Rob J Hyndman

References

Hyndman, R.J. and Koehler, A.B. (2006) "Another look at measures of forecast accuracy". International Journal of Forecasting, 22(4).

Examples

fit1 <- rwf(EuStockMarkets[1:200,1],h=100)
fit2 <- meanf(EuStockMarkets[1:200,1],h=100)
accuracy(fit1)
accuracy(fit2)
accuracy(fit1,EuStockMarkets[201:300,1])
accuracy(fit2,EuStockMarkets[201:300,1])
plot(fit1)
lines(EuStockMarkets[1:300,1])

ttnsdcn/forecast-package documentation built on June 1, 2019, 2:49 a.m.