Below... On Mon, Jul 1, 2013 at 7:24 PM, Giovanni Petris <gpet...@uark.edu> wrote: > > Oops... > > Correction: The function KalmanForecast does exist in package stats. > > The references that I gave in my other reply are still valid, though. It is > my impression that Kalman filtering facilities in stats are not meant to be > used directly by the end user of R,
... and on what, pray tell, do you base **that** strange pronouncement?? -- Bert but their main purpose is to serve as workhorses for other model fitting and forecasting functions (e.g., StructTS). > > Best, > Giovanni > > ________________________________________ > From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] on behalf > of Csima Gabriella [csim...@met.hu] > Sent: Friday, June 28, 2013 6:27 AM > To: r-help@r-project.org > Subject: [R] KalmanForecast (stats) > > Dear List members, > > I would like to use the Kalman-filter program for forecasting - namely for > postprocessing numerical model results of 2m temperature. I have looked > through the help of the Kalman-filtering programs, mainly the KalmanForecast > and I have read about the newer packages like KFAS as well. > > I always uderstand and use new R programs that first I try out the > example(s), it makes me a base for my new program. My problem is that there > is no any example (with data that I can run immediately), and I do not > understand, or cannot imagine how - e.g. the "mod" - have to be as the input > of the program. > > Could you send me a simple example of KalmanForecast (with input data) that I > can run and can see how it works exactly? > > Cheers, > Gabriella > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > 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. > > ______________________________________________ > R-help@r-project.org mailing list > 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. -- Bert Gunter Genentech Nonclinical Biostatistics Internal Contact Info: Phone: 467-7374 Website: http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm ______________________________________________ R-help@r-project.org mailing list 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.
