Accuracy of forecasts

mape() is the mean absolute percentage error and pct_bias() the mean of (forecast - actual) / actual, both in percent; mae() and rmse() are the mean absolute and root mean squared errors; mase() scales the mean absolute error by the in-sample error of the seasonal naive forecast on train (Hyndman & Koehler, 2006).

Usage

mape(actual, forecast)

pct_bias(actual, forecast)

mae(actual, forecast)

rmse(actual, forecast)

mase(actual, forecast, train, period = 1)

Arguments

actual, forecast

Numeric vectors of the same length.

train

The history the forecasts were made from, for mase().

period

Its seasonal period.

Value

A number (NA when it cannot be computed).

Examples

mape(c(100, 200), c(110, 180))
#> [1] 10