In the following example, auto ARIMA() picks ARIMA(1,0,3) w/ mean as the best the model. Is it possible to extract the other models that it considered, say, top 5?
# library
suppressWarnings(suppressMessages(library(fpp3)))
# Auto ARIMA
us_change %>%
model(ARIMA(Consumption ~ PDQ(0,0,0)))
#> # A mable: 1 x 1
#> `ARIMA(Consumption ~ PDQ(0, 0, 0))`
#> <model>
#> 1 <ARIMA(1,0,3) w/ mean>
Created on 2020-08-31 by the reprex package (v0.3.0)