My guess is `area under the ROC curve'. There's the roc package in BioConductor that I believe can compute this.
Andy > From: Spencer Graves > > What's AUC? If you mean AIC (Akaike Information > Criterion), and > if you fit logistic regression using "glm", the help file > says that glm > returns an object of class "glm", which is a list containing > among other > things an attribute aic. For example, suppose you fit a > model as follows: > > fit <- glm(y~x, famil=binomial()...) > > Then fit$aic returns the AIC. > > You may also wish to consider anova and anova.glm. > > hope this helps. spencer graves > > [EMAIL PROTECTED] wrote: > > >Dear R-helper, > > > >I would like to compare the AUC of two logistic regression > models (same > >population). Is it possible with R ? > > > >Thank you > > > >Roman Rouzier > > [[alternative HTML version deleted]] > > > >______________________________________________ > >[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 > > > > > > -- > > Spencer Graves, PhD, Senior Development Engineer > O: (408)938-4420; mobile: (408)655-4567 > > ______________________________________________ > [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 > > ______________________________________________ [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