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

Examples

if (requireNamespace("fable", quietly = TRUE)) { library(fable) tsibbledata::aus_production %>% model(ETS(Beer)) %>% gg_tsresiduals() }