forecast.RW: Forecast a model from the fable package

View source: R/lagwalk.R

forecast.RWR Documentation

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

The time series model used to produce the forecasts

new_data

A tsibble containing future information used to forecast.

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.

...

Additional arguments for forecast model 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 Sept. 2, 2022, 1:07 a.m.