Consider the following reproducible example:
# note that lh is a standard ts dataset that ships with R lh # fit an R model ar.mle<-ar(lh,method="mle") # now get the min AIC, this is the relevant line: ar.mle$aic[ar.mle$aic==min(ar.mle$aic)]
This works fine and gives back the smallest AIC value and it's index, which is the suggested AR order. I feel I am repeating myself in this last line of code. Is there an easier way to obtain index and value? I know I could use partial autocorrelations to determine the level, too. This is not a stats question, but an R indexing question.