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fullbin
2010 Feb 05
0
Quasi-binomial GLM and model selection
...ial error distribution and I would like
to do a model selection method similar to step(AIC) to carry out a
restricted search for the "best" model. I would like to know which of my 5
predictor variables would be included in the "best" model if I start with
a 'full' model (fullbinom in this case). However, AIC can't be calculated
on a quasi-binomial model. Is there another similar method I can use?
Here's my R code so far:
(AUC ranges from 0 to 1)
fail<-1-AUC; succfail<-cbind(AUC, fail)
fullbinom<-glm(succfail~variables+log(area)+resolution+model+taxa,fami...