Hi, I'm not sure why you think glm doesn't provide goodness of fit tests. Have a look at anova.glm and summary.glm. All the functions you mention can deal with multiple predictors. multinom deals with non-binary data. lrm will deal with ordinal data as well as binary. polr (in the MASS package) will also do ordinal logistic regression.
David On Thu, Jun 5, 2008 at 10:33 PM, Wim Bertels <[EMAIL PROTECTED]> wrote: > > Hallo, > > which function can i use to do (baseline) logistic regression + > goodness > of fit tests? > > so far i found: > > # logistic on binary data > lrm combined with resid(model,'gof') > > # logistic on binary data > glm with no gof-test > > # baseline logit on binary data > multinom with no gof-test > > (# also, what if the data are not binary and more than one > predictor in > the model?) > > Hints? Suggestions? Other functions that might help? > > mvg, > Wim > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.