[R-sig-eco] model selection with truncated poisson distribution

[Roman Luštrik]

What kind of model selection are we talking about? The dredging part (a la
step()) or a more fine tuned, such as information-theoretic approach
advocated by (among others) Burnham and Anderson?

I would suggest the latter. Pardon me if I'm presuming too much, but in a
nutshell, this approach advocates formulating a set of plausible
hypotheses, constructing models to reflect them, and then compare based on
some criterion (like AIC). You can also use model averaging (using weights)
to get a better sense of model estimates.

Cheers,
Roman

On Tue, Jan 6, 2015 at 12:52 PM, James Rodger <rodgerjg at gmail.com> wrote:

> Hi,
>
> Can anyone advise me on model selection in glm with a  zero truncated
> poisson distribution?
>
> I have used a the command vglm in the vgam package to analyse the data with
> pospoisson specified as the family and I have evaluated alternative models
> with a log-likelihood test. I am not  sure if that the test statistic will
> follow the chi-squared distribution, however.
>
> My data is on seeds per fruit (minimum 1) in different experimental
> treatments and different densities of plants.
>
> Regards,
>
> James
>
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-- 
In God we trust, all others bring data.

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