(no subject)

Hi,

see:

http://agec221.agecon.uiuc.edu/csiss/Rgeo/

for R-Spatial Models, are there many packages for
spatial data analysis.

Regards
Vito
I need information about space state models in
structural model and kalman filtering. I have a
univariate time serie and i nedd aplicate space state
model

Thank's

=====
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Hi,

see:

http://agec221.agecon.uiuc.edu/csiss/Rgeo/

for R-Spatial Models, are there many packages for
spatial data analysis.
"State space" has nothing to do with "spatial"... the "space" term comes
from linear algebra, and has to do with how the innards of a black box can
be described by vectors representing its "state".

I am new to R, so can't really address the original question in this
context, but can suggest that Scilab and Octave are two free tools with
which Kalman filtering analyses are commonly applied.

FWIW, Google did suggest
https://stat.ethz.ch/pipermail/r-sig-finance/2004q3/000070.html and linked
messages, which suggests that library(stats) is the place to look [as in
help.search("kalman")]
Regards
Vito

you wrote:

I need information about space state models in
structural model and kalman filtering. I have a
univariate time serie and i nedd aplicate space state
model

Thank's

=====
Diventare costruttori di soluzioni
Became solutions' constructors

"The business of the statistician is to catalyze 
the scientific learning process."  
George E. P. Box

Top 10 reasons to become a Statistician

     1. Deviation is considered normal
     2. We feel complete and sufficient
     3. We are 'mean' lovers
     4. Statisticians do it discretely and continuously
     5. We are right 95% of the time
     6. We can legally comment on someone's posterior distribution
     7. We may not be normal, but we are transformable
     8. We never have to say we are certain
     9. We are honestly significantly different
    10. No one wants our jobs

Visitate il portale http://www.modugno.it/
e in particolare la sezione su Palese  http://www.modugno.it/archivio/palese/

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