[R-sig-ME] Is there a way to deal with errors such as this?

[Rolf Turner]

Thanks to Jonathan Judge and Ben Bolker for their replies.  It appears 
that the short answer to my question is "No."

That being so, I will go with the strategy of wrapping the calls in 
try() and simulating new data if the error occurs.  If this risks 
biasing the simulation results, well, at least I have a good excuse to 
tell the referees! :-)

Perhaps later I will re-run the simulations using mixed_model() from
GLMMadaptive and compare the results.

Thanks again.

cheers,

Rolf

-- 
Honorary Research Fellow
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276