I'm reading some code involving
auto.arima method from the
forecast package in R. What I'm curious is whether there is a necessity for decomposing the time series data into seasonal, trend and stochastic compoents before passing to the
auto.arima method, or is it automatically handled by the functionality of the method?
Thanks in advance!