[R] Data assimilation / inverse modeling in R

[Spencer Graves]

	  1.  The "Details" for "?help.search" indicate that it searches ONLY 
packages currently installed locally.

	  2.  "See Also" for "?help.search" includes "'RSiteSearch' to access 
an on-line search of R resources."

	  3.  'help.search("Kalman filter")' for me just now identified only 
"KalmanLike(stats):  Kalman Filtering".  However, 'RSiteSearch("Kalman 
filter")' produced 80 documents, and 'RSiteSearch("Kalman filter", 
"functions")' produced 18.

	  4.  RSiteSearch("assimilation") produced only 3 hits, being your post 
and two others connected to it appearently because two other posters 
just "replied" to your post, changing subject and content, not realizing 
that the RSiteSearch software somehow keeps those connections.

	  5.  RSiteSearch("inverse model") produce 723 hits, so that's not much 
help either.

	  6.  Have you read Venables and Ripley (2002) Modern Applied Statists 
with S (Springer), especially the chapter on time series?  I highly 
recommend this book and this chapter in particular.  Also, Have you 
worked through the vignettes associated with the "zoo" package? If no, 
you might find that quite useful. [Are you aware that 
edit(vignette(...)) will provide a script file with the R code discussed 
in the vignette, which can be viewed in Adobe Acrobat while you are 
working throught the examples line by line, modifying them, etc.? I've 
found this to be very useful. If you use XEmacs, "edit(vignette(...))" 
may not work. Instead, try Stangle(vignette(...)$file). This will copy 
the R code to a file in the working directory, which you can then open.] 
Also, the "dse" bundle does some Kalman filtering and has vignettes.  =

	  7.  I think I have some familiarity with a fairly broad range of 
statistical methods, but I can't guess what you might mean by "data 
assimilation / inverse modeling", apart from your use of the term 
"Kalman filter".  PLEASE do read the posting guide! 
"www.R-project.org/posting-guide.html", then prepare another post 
preferably including a small, self contained example to illustrate 
something you tried, explaining why that did not quite do what you want.

	  hope this helps,
	  spencer graves

Lapointe, Pierre wrote:

> Hello, 
> 
> I'm trying to find out if something has been written in R regarding data
> assimilation and inverse modeling.
> 
> These searches do not return anything that look like Kalman filter
> variations (EK, SEEK, ROEK, etc.)
> 
> help.search("assimilation")
> help.search("inverse model")
> 
> Regards,
> 
> 
> 
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