Hello,
I am looking for an R package that uses nonlinear least squares to fit
ARIMA models. Initially I was using tseries but according to the
documentation for the Arima function in tseries:

*The exact likelihood is computed via a state-space representation of the
ARIMA process, and the innovations and their variance found by a Kalman
filter.  *

Are there any alternative commands that use nonlinear least squares?

        [[alternative HTML version deleted]]

______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to