[FORGED] Re: Error from glmmTMB().

   I did a little more poking around with this.

   It works (i.e. fits with no warnings with binomial() instead of
betabinomial().

   It works, sort of (i.e. gives 1 warning about NaN evaluation and a
non-pos-def Hessian warning, probably from an effectively singular
model, but gives sensible fixed-effect estimates and std devs) with
link=logit instead of cloglog.

    Debugging my way through glmmTMB:::fitTMB(), even the first
evaluation of the objective function gives NaN, and the gradient is a
vector of NaN values.  I suspect we have a failure to clamp the cloglog
function somewhere, and may know how to fix it.

   This is a very nice, simple example that may help us improve a bunch
of stuff (it will also help us put some tests in useful places to get
*slightly* less opaque error messages).

   I know this doesn't solve your problem immediately - but if I'm lucky
and have a bit of time I may be able to implement something soon.

   thanks Rolf!