Ensemble of time series residual diagnostic plots — gg_tsresiduals • feasts

Plots the residuals using a time series plot, ACF and histogram.

gg_tsresiduals(data, type = "innovation", ...)

Arguments

data: A mable containing one model with residuals.
type: The type of residuals to compute. If type="response", residuals on the back-transformed data will be computed.
...: Additional arguments passed to gg_tsdisplay().

Value

A list of ggplot objects showing a useful plots of a time series model's residuals.

References

Hyndman and Athanasopoulos (2019) Forecasting: principles and practice, 3rd edition, OTexts: Melbourne, Australia. https://OTexts.com/fpp3/

See also

gg_tsdisplay()

Examples

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

tsibbledata::aus_production %>%
  model(ETS(Beer)) %>%
  gg_tsresiduals()
}