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Is there a way to deal with errors such as this?

Rolf Turner

Sat, Dec 14, 2019 6:47 PM

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

Thread (14 messages)

Rolf Turner Is there a way to deal with errors such as this? Dec 14 Jonathan Judge Is there a way to deal with errors such as this? Dec 14 Ben Bolker Is there a way to deal with errors such as this? Dec 14 Ben Bolker Is there a way to deal with errors such as this? Dec 14 Rolf Turner Is there a way to deal with errors such as this? Dec 14 Daniel Lüdecke Is there a way to deal with errors such as this? Dec 15 Rolf Turner Is there a way to deal with errors such as this? Dec 15 Dimitris Rizopoulos Is there a way to deal with errors such as this? Dec 15 Rolf Turner Is there a way to deal with errors such as this? Dec 15 Voeten, C.C. Is there a way to deal with errors such as this? Dec 16 Rolf Turner Is there a way to deal with errors such as this? Dec 16 Phillip Alday Is there a way to deal with errors such as this? Dec 23 Rolf Turner Is there a way to deal with errors such as this? Dec 23 Ben Bolker Is there a way to deal with errors such as this? Dec 23