forecast.ETS: Forecast a model from the fable package
Description
Produces forecasts from a trained model.
Usage
# S3 method for ETS
forecast(
object,
new_data,
specials = NULL,
simulate = FALSE,
bootstrap = FALSE,
times = 5000,
...
)
Value
A list of forecasts.
Arguments
- object
A model for which forecasts are required.
- new_data
A tsibble containing the time points and exogenous regressors to produce forecasts for.
- specials
(passed by fabletools::forecast.mdl_df()
).
- simulate
If TRUE
, prediction intervals are produced by simulation rather than using analytic formulae.
- bootstrap
If TRUE
, then forecast distributions are computed using simulation with resampled errors.
- times
The number of sample paths to use in estimating the forecast distribution if simulated intervals are used.
- ...
Other arguments passed to methods
Examples
Run this codeas_tsibble(USAccDeaths) %>%
model(ets = ETS(log(value) ~ season("A"))) %>%
forecast()
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