I am using glmmadmb to fit negative binomial mixed effects model to my data. However it fails to converge sometimes. I want to understand what is causing the failure of convergence by first of all check whether it really fails to converge or just converges very slowly? when I fit the data using was glmmmix? the iteration history reply shows that my model does converges but fail to meet the default convergency criteria. When I relax the convergence criterion, it converges well. Is there anyway I can find the iteration history in glmmadmb as well? And can I change the default convergence criterion? Thanks! Jing Jing qiu
How to check the iterative history of convergence and change convergence criterion in glmmadmb
2 messages · qiujing at udel.edu, Ben Bolker
1 day later
If you specify verbose=TRUE when running the model you will see (quite a lot of) interim output describing the optimization progress. See ?admbControl for more control options; you can also use the "extra.args" argument to pass additional arguments to ADMB, but you'll need to look at the ADMB documentation <http://www.admb-project.org/documentation> to figure out what to do: from chapter 12 of the manual <http://ftp.admb-project.org/admb-11.4/manuals/admb-11.4.1.pdf>, it looks like extra.args="-crit xxx" (where xxx is a numerical convergence criterion -- not sure what makes sense). See also <https://www.google.ca/url?sa=t&rct=j&q=&esrc=s&source=web&cd=9&cad=rja&uact=8&ved=0CEgQFjAIahUKEwju072Lq8rIAhVMGx4KHW5yAPU&url=ftp%3A%2F%2Fglpd.fw.msu.edu%2FQFC%2FADMB-Videos%2FCurrent_ADMB_Video_Release%2FDefault%2520Convergence%2520Criterion%2FADMB%2520-%2520Default%2520Convergence%2520Criterion%2520Video%2520Handout.pdf&usg=AFQjCNGcJXjNmcgBgu--8tMkxX__d6RMgQ&sig2=smswu71Be-z7X-PVMK-kGA> , and consider asking about convergence criteria on the ADMB list if you can't figure it out.
On Thu, Oct 15, 2015 at 10:58 PM, <qiujing at udel.edu> wrote:
I am using glmmadmb to fit negative binomial mixed effects model to my data. However it fails to converge sometimes. I want to understand what is causing the failure of convergence by first of all check whether it really fails to converge or just converges very slowly? when I fit the data using was glmmmix? the iteration history reply shows that my model does converges but fail to meet the default convergency criteria. When I relax the convergence criterion, it converges well. Is there anyway I can find the iteration history in glmmadmb as well? And can I change the default convergence criterion? Thanks! Jing Jing qiu
_______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models