8.4 Missing values

Unlike for an exponential smoothing model, missing values are ok when fitting a seasonal ARIMA model

fulldat <- window(chinookts, c(1990,1), c(1999,12))
fit <- forecast::auto.arima(fulldat)
fr <- forecast::forecast(fit, h=12)
plot(fr)