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/
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Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
