R help - Jun 2010 - fitting multinomial logistic regression

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:

install.packages("globaltest")

Can you help me?

Regards,
Suman Dhara

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suman dhara <suman.dhara89 <at> gmail.com> writes:
> 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:
> 
> install.packages("globaltest")
> 
> Can you help me?
> 

  Only if you give us some kind of clue about what precisely is not
working.  What version of R are you using (post results of sessionInfo() ) ,
what repository did you choose when prompted, do you have a working
internet connection, *exactly* what error message appeared ... ?

  (Hint: I got "package ?globaltest? is not available".  When
I did 

library(sos)  ## install this if necessary
findFn("mlogit")

  I found that there was an mlogit package, which installed fine
for me.)

  (Hint #2: it appears that globaltest is in Bioconductor.
You might want to post this query on the bioconductor mailing list.)

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
>
> 	[[alternative HTML version deleted]]
>
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