Many thanks!
Adam

2011/9/14 Achim Zeileis <Achim.Zeileis@uibk.ac.at>

> On Wed, 14 Sep 2011, Adam Copella wrote:
>
>  Dear All,
>>
>> Is there any function in R for fitting linear probability model, as my
>> response variable is a uniformly distributed.
>>
>
> If it is really uniformly distributed, I think there is not much to
> model... And in the textbooks I know that discuss the linear probability
> model (mostly econometrics books), this typically refers to running OLS on a
> 0/1 response variable. This can be done with lm() but is typically
> inappropriate and using a binomial glm() is a better solution (as previously
> pointed out).
>
> However, from your description it seems that your response takes values in
> the open unit interval and that you want to model its distributional
> properties. Then beta regression may be an option. See package "betareg" and
> the accompanying paper http://www.jstatsoft.org/v34/**i02/<http://www.jstatsoft.org/v34/i02/>
> .
>
> hth,
>
> Z
>
>  Regards,
>> Adam
>>
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