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
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: Removed 4 rows containing missing values or values outside the scale range
#> (`geom_line()`).
