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Error with glmmADMB and beta distribution

Heather Kharouba <kharouba at ...> writes:
[snip]
My first guess would be that you have AUC values that are 
exactly equal to 0 or 1; they will give infinite/NaN log-likelihoods
in the beta model. Beyond that, I'm not sure.  It would be useful
to know a little bit more about your data -- how many total observations?
How many studies?

Does fitting the model without the random effect work, i.e.

model2 <- glmmadmb(AUC~variables+log_area+model+taxa,
  family="beta", verbose=TRUE, data=auc)

?