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Produces forecasts from a trained model.
# S3 method for ARIMA forecast( object, new_data = NULL, specials = NULL, bootstrap = FALSE, times = 5000, ... )
A list of forecasts.
A model for which forecasts are required.
A tsibble containing the time points and exogenous regressors to produce forecasts for.
(passed by fabletools::forecast.mdl_df()).
fabletools::forecast.mdl_df()
If TRUE, then forecast distributions are computed using simulation with resampled errors.
TRUE
The number of sample paths to use in estimating the forecast distribution when bootstrap = TRUE.
bootstrap = TRUE
Other arguments passed to methods
USAccDeaths %>% as_tsibble() %>% model(arima = ARIMA(log(value) ~ pdq(0, 1, 1) + PDQ(0, 1, 1))) %>% forecast()
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