dave fournier otter-rsch.com> writes:
>
> According to the documentation for glmmADMB if you fit
> your model with a statment like
>
> fit =glmm.admb(y~Base*trt+Age+Visit, ... data=epil2,family="nbinom")
>
> and that the parameter estimates are in
>
> fit$b while their estimated standar
According to the documentation for glmmADMB if you fit
your model with a statment like
fit =glmm.admb(y~Base*trt+Age+Visit, ... data=epil2,family="nbinom")
and that the parameter estimates are in
fit$b while their estimated standard deviations are
in
fit$stdbeta
so presumably p val
Marie-Hélène Hachey hotmail.com> writes:
>
>
> Hi,
>
> I have to analyse the number of provisioning trips to nestlings
> according to a number of biological and
> environmental factors. I was thinking of building a mixed-effects model
> with species and nestid as
> random effects, using a Poi
Hi,
I have to analyse the number of provisioning trips to nestlings according to a
number of biological and environmental factors. I was thinking of building a
mixed-effects model with species and nestid as random effects, using a Poisson
distribution, but the data are overdispersed (variance/
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