Hello,
I am using forecast() in the forecast package to predict future values of an
ARIMA model fit to a time series. I have read most of the documentation for
the forecast package, but I can't figure out how to obtain the forecast
variance for the predicted values. I tried using the argument
"se.fit=TRUE," hoping this would work since forecast() calls predict().
Is there an easy way to do this? Sample code is below.
ar <- Arima(as.matrix(Y), order= c(1,0,0),include.drift=TRUE))
f <- forecast(ar,h=9,se.fit=TRUE)
summary(f)
Thanks,
Laura
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