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

Rolf Turner r@turner @end|ng |rom @uck|@nd@@c@nz
Sun Dec 15 21:45:34 CET 2019

On 15/12/19 11:20 pm, Daniel Lüdecke wrote:

> The model seems to fit w/o error when you use "glmmTMB". Unlike 
> glmmADAPTIVE, which uses a more time consuming adaptive Gaussian 
> quadrature rule, glmmTMB might be faster to run the models (even faster 
> than glmer(), probably).


Thanks for this advice.  For some reason I had it my head that 
GLMMadaptive worked better than glmmTMB.  I don't know why I got that 
idea.  I will do some experimentation and timing assessments later on.
But for the moment I'm sticking with glmer() and the strategy of 
discarding the simulated data set and generating a new one if glmer() 
throws an error.

Thanks again.



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

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