Model validation for Presence / Absence (binomial) GLMs
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
--- snip --- Also see the binomTools package on CRAN for some diagnostic tests for binomial models. Ken