Range in probabilities of a fitted lrm model (Y~X)
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 https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University