deseats (version 1.1.0)

measures: Forecasting Accuracy Measure Calculation

Description

Given point forecasts and observations, calculate various forecasting accuracy measures.

Usage

measures(preds, obs)

Value

A named vector with the obtained criteria values is returned.

Arguments

preds

the point predictions for the test data period.

obs

the observation series (training data and test data)

Details

Given one-step-ahead rolling forecasts as well as the whole series of given observations (training together with test data), different forecasting accuracy measures (MAE, RMSE, Pearson's correlation, MASE, RMSSE) are being calculated.

Examples

# \donttest{
xt <- EXPENDITURES
xt_in <- window(xt, end = c(2017, 4))
yt <- log(xt_in)
est <- s_semiarma(yt, set_options(order_poly = 3), inflation_rate = "optimal")
fc_results <- predict(est, n.ahead = 8, expo = TRUE)
point_fc <- fc_results@pred
measures(point_fc, xt)
# }