
Thank you David. I was indeed looking at rms, DAAG and caret.
I didn´t find a way to extract with predict the probabilities of the crossalidated model in rms, so I will try with DAAG. But DAAG only gives one set of crossvalidatet proabilities and I wanted the probabilities for all crossvalidated sets. 
Thank you very much.

> CC: r-help@r-project.org
> From: dwinsemius@comcast.net
> To: tintin_jb@hotmail.com
> Subject: Re: [R] Predictions from a logistic regression model with validation for ROCR
> Date: Fri, 26 Aug 2011 14:35:37 -0400
> 
> 
> On Aug 26, 2011, at 2:09 PM, Jon Toledo wrote:
> 
> >
> > Dear experts,
> > I am looking for a package that does logistic regression with  
> > corssvalidation and gives me the probabilites of all the  
> > corssvalidations so that I can plot them in ROCR.
> > Would also like to know if the corssvalidate model would give me a  
> > summary coefficient for the intercept and my to predictors.
> 
> I see you have the same left-right typing dyspraxia that I suffer form.
> 
> The rms package will do much of what you request. Please note that  
> it's author is fairly dismissive of the value of using ROC measures  
> (including the C-statistic often called the "Harrell c-statistic") for  
> the purposes you appear to be considering. Harrell himself neither  
> takes credit for nor recommends the c-index for measuring predictive  
> abilit. He also points out literature by others that shows that cross- 
> validation can often be misleading when estimating error rates. See  
> pages 247-249 of the RMS book.
> 
> 
> > Thank you.
> > Best regards,
> >
> > Jon Toledo, MD
> >
> > Postdoctoral fellow
> 
> 
> 
> David Winsemius, MD
> West Hartford, CT
> 
 		 	   		  
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