R: Forecast a model from the fable package

forecast.NNETAR {fable} | R Documentation

## Forecast a model from the fable package

### Description

Produces forecasts from a trained model.

### Usage

    ## S3 method for class 'NNETAR'
    forecast(
      object,
      new_data,
      specials = NULL,
      simulate = TRUE,
      bootstrap = FALSE,
      times = 1000,
      ...
    )

### 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 if simulated intervals are used.
`...` | Additional arguments for forecast model methods.

### Value

A list of forecasts.

### Examples

    as_tsibble(airmiles) %>%
      model(nn = NNETAR(box_cox(value, 0.15))) %>%
      forecast(times = 10)

[Package fable version 0.3.1 Index]