[R-sig-ME] Convergence in glmmTMB but not glmer

Thierry Onkelinx th|erry@onke||nx @end|ng |rom |nbo@be
Tue Oct 20 19:16:06 CEST 2020


Dear Daniel,

Can you share the data? That would make it easier for us to inspect the
issue.

Best regards,

Thierry

ir. Thierry Onkelinx
Statisticus / Statistician

Vlaamse Overheid / Government of Flanders
INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND
FOREST
Team Biometrie & Kwaliteitszorg / Team Biometrics & Quality Assurance
thierry.onkelinx using inbo.be
Havenlaan 88 bus 73, 1000 Brussel
www.inbo.be

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Op di 20 okt. 2020 om 18:57 schreef Daniel Wright <daniel.wright using uconn.edu>:

> Hello,
>
> I'm having convergence issues when using glmer in lme4, but not glmmTMB.
> I'm running a series of generalized linear mixed effect models with poisson
> distribution for ecological count data. I've included a random effect of
> site (n = 26) in each model. All non-factor covariates are standardized.
>
> The coefficient estimates of models run in glmer and glmmTMB are very
> similar, but models run in glmer are having convergence issues. Any advice
> would be appreciated, as I'm not sure if I can rely on my results from
> glmmTMB.
>
> Attached are example of outputs from glmmTMB vs glmer:
>
> --
> ----------------------------------------------------------------
> Daniel Wright, Graduate Research Assistant
> Wildlife and Fisheries Conservation Center
> Depart. Natural Resources and the Environment
> <
> https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.nre.uconn.edu%2F&data=02%7C01%7C%7Cba31f0d133a24848eb3208d614ebb2f0%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C636719399881397445&sdata=l3Lhp0QtBoRy5xpfyem%2FzYHmGZU0%2FHfPkq4mELHdRqE%3D&reserved=0
> >
> University of Connecticut
> Phone: 413-348-7388
> Email: daniel.wright using uconn.edu
> _______________________________________________
> R-sig-mixed-models using r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
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