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McFadden r^2 and the inrercept
2 messages · Ville Iiskola, Joshua Wiley
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.iiskola at 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="Numerop?iv?l?ht?",alt.var="Kilpailunumero")
summary(mlogit(Voittaja ?~ Onkokaikkikeng?tpois + Onkoosakengist?jalassa+ OurChoicedummy1 +MvaiN+OvaiR+LogFO+kaksi+kolme+nelj?+viisi+kuusi+seitsem?ntaikahdeksan+yhdeks?ntaikymmenen-1 , data=Mallidata, na.action=na.pass))
Ville
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Joshua Wiley Ph.D. Student, Health Psychology Programmer Analyst II, ATS Statistical Consulting Group University of California, Los Angeles https://joshuawiley.com/