R: Forecast a model from the fable package

forecast.RW {fable} | R 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()

[Package fable version 0.3.1 Index]