s/work/works/g


On Thu, May 16, 2013 at 7:34 AM, Mark Greenaway <certifiedwaif@gmail.com>wrote:

> Hi Matias,
>
> It's very possible, and in fact I've done it many times. Just change your
> R code to use strings instead of vectors of strings:
>
> library(pscl)
> model1<-hurdle(y~x*z,data=dat, dist="negbin",zero.dist="binomial")
>
> Also, as this is the mixed models list, if you'd like to fit hurdle or
> zero inflated models with random effects etc. you can use MCMCglmm. It work
> very well.
>
> Mark
>
>
> On Wed, May 15, 2013 at 11:20 PM, Matias Ledesma <matutetote@hotmail.com>wrote:
>
>> Hi everybody,
>> I have a question about hurdle models. Im trying to fit a model with a
>> binomial respons variable but It seems not possible, does anyone have an
>> explanation to that?
>>
>> library(pscl)model1<-hurdle(y~x*z,data=dat,dist=c("negbin"),zero.dist=c("binomial"))y=cbind(f-R-f)
>> Thanks in advance,Matias
>>         [[alternative HTML version deleted]]
>>
>> _______________________________________________
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>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>>
>
>

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