R: Refit a 'TSLM'

refit.TSLM {fable} | R Documentation

## Refit a `TSLM`

### Description

Applies a fitted `TSLM` to a new dataset.

### Usage

    ## S3 method for class 'TSLM'
    refit(object, new_data, specials = NULL, reestimate = FALSE, ...)

### 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()`).
`reestimate` | If `TRUE`, the coefficients for the fitted model will be re-estimated to suit the new data.
`...` | Additional arguments for forecast model methods.

### Examples

    lung_deaths_male <- as_tsibble(mdeaths)
    lung_deaths_female <- as_tsibble(fdeaths)

    fit <- lung_deaths_male %>%
      model(TSLM(value ~ trend() + season()))

    report(fit)

    fit %>%
      refit(lung_deaths_female) %>%
      report()

[Package fable version 0.3.1 Index]