[R-sig-ME] Model validation for Presence / Absence (binomial) GLMs

[Ken Knonlauch]

Ben Bolker <bbolker at ...> writes:

> 
> Chris Howden <chris <at> ...> writes:
> 
> > 
> > This is something I always battle with given the plethora of great model
> > fitting methods available for other models.
> > 
> > I always use a variant of Hugh's suggestion and look at the % of correct
> > predictions between models as a quick model fitting statistic.
> > 
> > And for overdispersion I believe one way is to fit individual level random
> > effects and see if this is a substantively better model. There is more on
> > this in the wiki http://glmm.wikidot.com/faq

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Also see the binomTools package on CRAN for some diagnostic tests 
for binomial models. 

Ken