[R-sig-ME] Quasi Poisson for glmm

[Ebhodaghe Faith]

Thanks, Thierry.

But could you please refer me to an article preferably in the biological
sciences where a negative binomial distribution was used to model an
over-dispersed multilevel proportion response variable?

Thanks for your kind assistance.

Regards
Faith

On Thu, 3 Dec 2020, 1:32 p.m. Thierry Onkelinx, <thierry.onkelinx using inbo.be>
wrote:

> Dear Faith,
>
> You can use a negative binomial distribution.
>
> Best regards,
>
> ir. Thierry Onkelinx
> Statisticus / Statistician
>
> Vlaamse Overheid / Government of Flanders
> INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
> FOREST
> Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
> thierry.onkelinx using inbo.be
> Havenlaan 88 bus 73, 1000 Brussel
> www.inbo.be
>
>
> ///////////////////////////////////////////////////////////////////////////////////////////
> To call in the statistician after the experiment is done may be no more
> than asking him to perform a post-mortem examination: he may be able to say
> what the experiment died of. ~ Sir Ronald Aylmer Fisher
> The plural of anecdote is not data. ~ Roger Brinner
> The combination of some data and an aching desire for an answer does not
> ensure that a reasonable answer can be extracted from a given body of data.
> ~ John Tukey
>
> ///////////////////////////////////////////////////////////////////////////////////////////
>
> <https://www.inbo.be>
>
>
> Op do 3 dec. 2020 om 11:24 schreef Ebhodaghe Faith <
> ebhodaghefaith using gmail.com>:
>
>> Hi All.
>>
>> I have a dataset for wish I intend to model an over-dispersed proportion
>> response variable with hierarchical structure. I tried using the Quasi
>> Poisson family, but available packages including glmmTMB do not allow
>> this.
>> What do you advice?
>>
>> Thanks in advance for your kind response.
>>
>> Faith Ebhodaghe
>> Nairobi, Kenya
>>
>>         [[alternative HTML version deleted]]
>>
>> _______________________________________________
>> R-sig-mixed-models using r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>>
>

	[[alternative HTML version deleted]]