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, 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
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