R help - Dec 2010 - Fitting mixed effects Baseline category logit models

Hello everyone,

I want to fit a baseline category logit model (with 3-4 categories) with
nested random effects.
(For example, I have clusters(i) and households within clusters (j)
resulting in the nested
 random effects structure : b_i +d_j(i)). Is there a R function/package that
I can use ? Any help
will be much appreciated.

Thanks and regards,
Dhiman Bhadra

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Hi:

Try the mlogit() function in package mlogit. It appears to handle random
effects terms, but I don't know offhand if that includes hierarchical random
effects. You can always try it out...

HTH,
Dennis

On Mon, Dec 27, 2010 at 2:43 PM, DHIMAN BHADRA
<dhimanbhadra@gmail.com>wrote:
> Hello everyone,
>
> I want to fit a baseline category logit model (with 3-4 categories) with
> nested random effects.
> (For example, I have clusters(i) and households within clusters (j)
> resulting in the nested
>  random effects structure : b_i +d_j(i)). Is there a R function/package
> that
> I can use ? Any help
> will be much appreciated.
>
> Thanks and regards,
> Dhiman Bhadra
>
>        [[alternative HTML version deleted]]
>
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