plot.ts()
decompose()
diff()
arima()
adf.test()
ur.df()
ndiffs()
Arima()
auto.arima()
MARSS()
Forecasting works the same using the forecast() function.
forecast()
fr <- forecast::forecast(fit, h = 12) plot(fr) points(testdat)