Re: [R] spatial probit/logit for prediction

2008-08-20 Thread Torsten Hothorn


Hi Robb,

the gamboost() function in package `mboost' may help. The details
are described in

@article{Kneib+Hothorn+Tutz:2009,
  author = {Thomas Kneib and Torsten Hothorn and Gerhard Tutz},
  title = {Variable Selection and Model Choice in Geoadditive Regression 
Models},
  journal = {Biometrics},
  year = {2009},
  note = {Accepted}
}

(preprint available from http://epub.ub.uni-muenchen.de/2063/)

Best wishes,

Torsten

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Re: [R] spatial probit/logit for prediction

2008-08-20 Thread Roger Bivand
Freeman, Robert rfreeman at emcc.edu writes:

 I am wondering if there is a way to do a spatial error probit/logit 
 model in R?  I can't seem to find it in any of
 the packages.  I can do it in MATLAB with Gibbs sampling, but would 
 like to confirm the results.  Ideally I
 would like to use this model to predict probability of parcel 
 conversion in a future time period.  This
 seems especially difficult in a binary outcome model setting.  

There are no such functions (as far as I know) in any package on CRAN 
for a spatial weights matrix based approach based say on contiguities. 
You could consider asking on the R-sig-geo list, and/or reviewing 
http://leg.ufpr.br/Rcitrus/, which may prove helpful (especially 
if you know Portuguese). 

Roger

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[R] spatial probit/logit for prediction

2008-08-19 Thread Freeman, Robert

Hello all,

I am wondering if there is a way to do a spatial error probit/logit model in R? 
 I can't seem to find it in any of the packages.  I can do it in MATLAB with 
Gibbs sampling, but would like to confirm the results.  Ideally I would like to 
use this model to predict probability of parcel conversion in a future time 
period.  This seems especially difficult in a binary outcome model setting.  
Does anyone have any guidance on this aspect?  

Thanks.
Robb

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