Hi Ville, McFadden's pseudo R^2 is just a (log) likelihood ratio for your model compared to the null model. The null is typically an intercept only model, but other comparisons may be valid also.
If memory serves: 1 - log(full_likelihood)/log(null_likelihood) you can often extract likelihoods from model objects using the logLik() function. However, I thought that mlogit gave McFadden's pseudo R^2 in its summary output?? Josh On Tue, Oct 25, 2011 at 7:09 AM, Ville Iiskola <ville.iisk...@uta.fi> wrote: > Hi > > > > I have estimated parameters of my data with mlogit and the following > commands. I would like to know also the McFadden R^2 and the intercept, > could soweone tell me how that can be done? > > > > library(RODBC) > > > > library(mlogit) > > > > library(foreign) > > > > z<-odbcConnectExcel("D:\\MALLI11ARVOT.xls") > > > > y<-sqlFetch(z,"Taul1") > > > > Mallidata=mlogit.data(y,choice="Voittaja",shape="long",id.var="Numeropäivälähtö",alt.var="Kilpailunumero") > > > > summary(mlogit(Voittaja ~ Onkokaikkikengätpois + Onkoosakengistäjalassa+ > OurChoicedummy1 > +MvaiN+OvaiR+LogFO+kaksi+kolme+neljä+viisi+kuusi+seitsemäntaikahdeksan+yhdeksäntaikymmenen-1 > , data=Mallidata, na.action=na.pass)) > > > > Ville > > [[alternative HTML version deleted]] > > > ______________________________________________ > 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. > > -- Joshua Wiley Ph.D. Student, Health Psychology Programmer Analyst II, ATS Statistical Consulting Group University of California, Los Angeles https://joshuawiley.com/ ______________________________________________ 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.