Extract components from a fitted model

Allows you to extract elements of interest from the model which can be useful in understanding how they contribute towards the overall fitted values.

# S3 method for mdl_df
components(object, ...)

# S3 method for mdl_ts
components(object, ...)

Arguments

object	A mable.
...	Other arguments passed to methods.

Details

A dable will be returned, which will allow you to easily plot the components and see the way in which components are combined to give forecasts.

Examples

if (requireNamespace("fable", quietly = TRUE)) {
library(fable)
library(tsibbledata)

# Forecasting with an ETS(M,Ad,A) model to Australian beer production
aus_production %>%
  model(ets = ETS(log(Beer) ~ error("M") + trend("Ad") + season("A"))) %>%
  components() %>%
  autoplot()
}
#> Warning: 1 error encountered for ets
#> [1] .data contains implicit gaps in time. You should check your data and convert implicit gaps into explicit missing values using `tsibble::fill_gaps()` if required.
#> Error: `mutate()` argument `cmp` errored.
#> ℹ `cmp` is `map(.fit, components)`.
#> ✖ no applicable method for 'components' applied to an object of class "null_mdl"