forecast.RW: Forecast a model from the fable package

In fable: Forecasting Models for Tidy Time Series

Forecast a model from the fable package

Description

Produces forecasts from a trained model.

Usage

## S3 method for class 'RW'
forecast(
  object,
  new_data,
  specials = NULL,
  simulate = FALSE,
  bootstrap = FALSE,
  times = 5000,
  ...
)

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 when bootstrap = TRUE.
...	Other arguments passed to methods

Value

A list of forecasts.

Examples

as_tsibble(Nile) %>%
  model(NAIVE(value)) %>%
  forecast()

library(tsibbledata)
aus_production %>%
  model(snaive = SNAIVE(Beer ~ lag("year"))) %>%
  forecast()

fable documentation built on March 31, 2023, 8:13 p.m.