R help - Apr 2005 - Range in probabilities of a fitted lrm model (Y~X)

Dear R-list,

Is there a function or technique by which the probability (or log odds)
range of a logistic model (fit <- lrm(Y~X)) can be derived?

The aim is to obtain min & max of the estimated probabilities of Y.

Could summary.Design() be used for that or is there another method/trick?

Thanks,
Jan



_______________________________________________________________________
ir. Jan Verbesselt 
Research Associate 
Lab of Geomatics Engineering K.U. Leuven
Vital Decosterstraat 102. B-3000 Leuven Belgium 
Tel: +32-16-329750   Fax: +32-16-329760
http://gloveg.kuleuven.ac.be/

Jan Verbesselt wrote:
> Dear R-list,
> 
> Is there a function or technique by which the probability (or log odds)
> range of a logistic model (fit <- lrm(Y~X)) can be derived?
See documentation - type ?predict.lrm

probs <- predict(fit, type='fitted')

FH
> 
> The aim is to obtain min & max of the estimated probabilities of Y.
> 
> Could summary.Design() be used for that or is there another method/trick?
> 
> Thanks,
> Jan
> 
> 
> 
> _______________________________________________________________________
> ir. Jan Verbesselt 
> Research Associate 
> Lab of Geomatics Engineering K.U. Leuven
> Vital Decosterstraat 102. B-3000 Leuven Belgium 
> Tel: +32-16-329750   Fax: +32-16-329760
> http://gloveg.kuleuven.ac.be/
> 
> ______________________________________________
> R-help at stat.math.ethz.ch mailing list
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> 

-- 
Frank E Harrell Jr   Professor and Chair           School of Medicine
                      Department of Biostatistics   Vanderbilt University