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
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")
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