[R-sig-ME] Mixed model for count data with overdispersion

[Manabu Sakamoto]

Dear Mehdi,

You can use the function MCMCglmm in the package of the same name,
specifying family="poisson". MCMCglmm automatically accounts for over
dispersion in count data.

best regards,
Manabu

On 10 August 2015 at 06:54, Mehdi Abedi <abedimail at gmail.com> wrote:

> Dear all,
>
> I had quick search but it looks there is no simple way in lme4 or  nlme In
> the case of overdispersion for count data,. How we can run mixed model for
> count data with family of quasipoisson or maybe NB?
>
> I my working on seeding emergence with 2 fixed factor (n=10) and i would
> like to have my plot as replicate(n=5) as a random.
>
> Warm regards,
> Mehdi
>
> --
>
>
> *Mehdi Abedi Department of Range Management*
>
> *Faculty of Natural Resources & Marine Sciences *
>
> *Tarbiat Modares University (TMU) *
>
> *46417-76489, Noor*
>
> *Mazandaran, IRAN *
>
> *mehdi.abedi at modares.ac.ir <Mehdi.abedi at modares.ac.ir>*
>
> *Homepage
> <http://www.modares.ac.ir/en/Schools/nat/Academic_Staff/~mehdi.abedi>*
>
> *Tel: +98-122-6253101 *
>
> *Fax: +98-122-6253499*
>
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-- 
Manabu Sakamoto, PhD
manabu.sakamoto at gmail.com

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