On Sun, 6 Jun 2010, suman dhara wrote:
Sir, I want to fit a multinomial logistic regression in R.I think
mlogit() is the function for doing this. mlogit () is in packege
globaltest.But, I can not install this package. I use the following:
To add to some of the previously given advice:
- The "globaltest" package provides an mlogit() function that estimates
a multinomial logit model using (as far as I can see) sum contrasts
for the coefficients.
- The "nnet" package provides the function multinom() for the
multinomial logit model using treatment contrasts for the
coefficients.
- The "mlogit" package provides a different function mlogit() that
provides a wider range of multinomial logit models using not only
individual-specific variables (as the previous two functions) but
also alternative-specific variables.
If you have alternative-specific variables, you should probably look at
the "mlogit" package. If not, then I would personally prefer the
multinom() function in "nnet" because it provides a few more extractor
functions and is described in the MASS book by Venables & Ripley.
In addition to that, there are more packages for different flavors of
multinomial models, including the multinom family in the "VGAM" package,
among others...
hth,
Z
install.packages("globaltest")
Can you help me?
Regards,
Suman Dhara
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