plot.ts()
decompose()
diff()
arima()
adf.test()
ur.df()
ndiffs()
Arima()
auto.arima()
MARSS()
We can create a forecast from our anchovy ARIMA model using forecast(). The shading is the 80% and 95% prediction intervals.
forecast()
fr <- forecast::forecast(fit, h = 10) plot(fr)