If you read the 'Warning' section of the help page for KalmanLike, it
explicitely says that
begin quote
These functions are designed to be called from other functions
which check the validity of the arguments passed, so very little
checking is done.
end quote
So, (1) these functions are not intended to be used directly and, (2) writing
other functions to call them after checking the validity of the arguments is
_probably_ not something the typical/average R end user would be comfortable
with. Of course, (2) just reflects my perception of the larger R users
community.
Best,
Giovanni
________________________________________
From: Bert Gunter [gunter.ber...@gene.com]
Sent: Monday, July 01, 2013 10:25 PM
To: Giovanni Petris
Cc: Csima Gabriella; r-help@r-project.org
Subject: Re: [R] KalmanForecast (stats)
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
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