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

[Mark Payne]

Dear R-sig-me,

How can I validate the fit of a bionomial (presence/absence) GLM?

Normally in linear modelling there is a nice array of tools
(tukey-anscombe, QQ plots, residuals vs explanatory variables,
correlation plots) that can be used to convince yourself that the fit
is ok. But when you start dealing with a bionomial (presence absence)
GLM, the whole thing kind of breaks down and starts getting ugly. For
a poisson GLM, you can go for pearson residuals - but what would be
the equivalent for a bionomial GLM? Does anyone have suggestions how
to approach this problem? Are there any "best-practices" that I am
unaware of in this regard?

Best wishes,

Mark