Greetings,
I am using both the lrm() {Design} and glm( , family=binomial()) to perform a
a logisitic regression in R. Apart from the typical summary() methods, what
other methods of diagnosing logistic regression models does R provide? i.e.
plotting an 'lm' object, etc.
Secondly, is there any facility to calculate the R^{2)_{L} as suggested by
Menard in "Applied Logistic Regression Analysis" (2002) ?
Any thought would be greatly appreciated.
Cheers,
--
Dylan Beaudette
Soils and Biogeochemistry Graduate Group
University of California at Davis
530.754.7341
Dylan Beaudette wrote:> Greetings, > > I am using both the lrm() {Design} and glm( , family=binomial()) to perform a > a logisitic regression in R. Apart from the typical summary() methods, what > other methods of diagnosing logistic regression models does R provide? i.e. > plotting an 'lm' object, etc.The best way of checking fit in a lrm is to do directed regression tests (e.g. extend linear effects into regression splines; interactions). An omnibus test is in residuals.lrm as is partial residual plots.> > Secondly, is there any facility to calculate the R^{2)_{L} as suggested by > Menard in "Applied Logistic Regression Analysis" (2002) ?Don't know that paper but lrm has various indexes including Nagelkerke-Maddala R^2. Frank> > Any thought would be greatly appreciated. > > Cheers, > >-- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University