Dear R users,
As I have no answer to my las reply i try again.
If the binomal negative link has never been implemented in the lmer
fonction, 
and as it was working when I did it some months ago,
What kind of result did I get?

This is the exemple of the answer of R when i was using lmer with negative
binomal family:

m1a<-lmer(atpos~ninter+saison+milieu*zone+(1|code),family=neg.bin(0.429),method="Laplace",data=manu)
summary(m1a)
Generalized linear mixed model fit using Laplace 
Formula: atpos ~ ninter + saison + milieu * zone + (1 | code) 
   Data: manu 
 Family: Negative Binomial(log link)
   AIC   BIC logLik deviance
 125.1 147.6 -54.57    109.1

Thank you for your answers,
Best Regards
Emmanuelle



E. Robardet wrote:
> 
> Thank you for your answers,
> 
> I have an exemple of that i was using:
> 
> m1a<-lmer(atpos~ninter+saison+milieu*zone+(1|code),family=neg.bin(0.429),method="Laplace",data=manu)
> summary(m1a)
> Generalized linear mixed model fit using Laplace 
> Formula: atpos ~ ninter + saison + milieu * zone + (1 | code) 
>    Data: manu 
>  Family: Negative Binomial(log link)
>    AIC   BIC logLik deviance
>  125.1 147.6 -54.57    109.1
> 
> I think It was the version lme4 0.9975-10.
> Unfortunately, I have this version no more available on my computer..
> I wonder if this old results are still valid..
> 
> 
> Ben Bolker wrote:
>> 
>> 
>> 
>> ROBARDET Emmanuelle wrote:
>>> 
>>> Dear R users,
>>> I'm performing some GLMMs analysis with a negative binomial link.
>>> I already performed such analysis some months ago with the lmer()
>>> function but when I tried it today I encountered this problem:
>>> Erreur dans famType(glmFit$family) : unknown GLM family: 'Negative
>>> Binomial'
>>> 
>>> Does anyone know if the negative binomial family has been removed from
>>> this function?
>>> I really appreciate any response.
>>> Emmanuelle
>>> 
>>> 
>> 
>> I would be extremely surprised if this worked in the past; to
>> the best of my knowledge the negative binomial family has
>> never been implemented in lmer.  One could in principle
>> do a glmmPQL fit with the negative binomial family
>> (with a fixed value of the overdispersion parameter).
>> glmmADMB is another option.
>> Can you say which version etc. you were using???
>> 
>> Follow-ups should probably be sent to r-sig-mixed-mod...@r-project.org
>> ....
>> 
> 
> 

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