[R] Estimate Discrete Choice Models with R

[Kjetil Halvorsen]

Discret choice models often require multinomial probit. The CRAN package
MNP can do that.

Kjetil

On Sat, Aug 15, 2009 at 8:50 PM, Ronggui Huang<ronggui.huang at gmail.com> wrote:
> glm can do probit regression, and glmer (lme4 package) and do mixed
> effect logit model.
>
> Ronggui
>
> 2009/8/16 Hongwei Dong <pdxdong at gmail.com>:
>> Thanks for the replies.
>> What I'm really interest in are the functions that can do GEV, probit, and
>> mixed logit. I searched R, and I did find the function that can do the
>> regular multinomial logit model, but I did not see the function that can
>> do GEV, probit, and mixed logit. Any further advices? Thanks.
>>
>> Harry
>>
>>
>> On Fri, Aug 14, 2009 at 3:49 PM, Hongwei Dong <pdxdong at gmail.com> wrote:
>>
>>> Hi, R users,
>>>   Does anyone know whether there are any Discrete Choice Modeling modules
>>> for R? Any books or websites discussing this?
>>>
>>> Thanks
>>>
>>> Harry
>>>
>>>
>>>
>>
>>        [[alternative HTML version deleted]]
>>
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>
>
>
> --
> HUANG Ronggui, Wincent
> PhD Candidate
> Dept of Public and Social Administration
> City University of Hong Kong
> Home page: http://asrr.r-forge.r-project.org/rghuang.html
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>