Refit a FASSTER model

Applies a fitted FASSTER model to a new dataset.

Usage

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

Arguments

object

A fitted FASSTER model.

new_data

A tsibble containing the new data.

specials

(passed by fabletools::refit.mdl_df()).

reestimate

If TRUE, the model parameters will be re-estimated to suit the new data using the heuristic approach. If FALSE, the existing model structure and parameters are applied to the new data without modification.

...

Additional arguments passed to the training function.

Value

A refitted FASSTER model.

Examples

library(tsibble)

# Fit model to male deaths
fit_male <- as_tsibble(mdeaths) |>
  model(FASSTER(value ~ trend(1) + fourier(12)))

# Refit to female deaths without re-estimating parameters
refit(fit_male, as_tsibble(fdeaths), reestimate = FALSE)
#> # A mable: 1 x 1
#>   `FASSTER(value ~ trend(1) + fourier(12))`
#>                                     <model>
#> 1                                 <FASSTER>

# Refit to female deaths with re-estimated parameters
refit(fit_male, as_tsibble(fdeaths), reestimate = TRUE)
#> # A mable: 1 x 1
#>   `FASSTER(value ~ trend(1) + fourier(12))`
#>                                     <model>
#> 1                                 <FASSTER>