[R-sig-ME] GLMMs with Adaptive Gaussian Quadrature

Ben Bolker bbolker @ending from gm@il@com
Fri Jun 15 17:06:56 CEST 2018

It looks interesting (at an admittedly *very* quick initial glance).
Can you clarify how it differs from using lme4::glmer with nAGQ>1 ?

On Fri, Jun 15, 2018 at 10:26 AM, D. Rizopoulos
<d.rizopoulos using erasmusmc.nl> wrote:
> Dear R mixed-model users,
> I’d like to announce the release of my new package GLMMadaptive for fitting generalized linear mixed models using adaptive Gaussian quadrature. You may read more about it here: https://goo.gl/7pi8Sh
> Any comments or suggestions are more than welcome.
> Best,
> Dimitris
> Professor of Biostatistics
> Erasmus University Medical Center
> The Netherlands
>         [[alternative HTML version deleted]]
> _______________________________________________
> R-sig-mixed-models using r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

More information about the R-sig-mixed-models mailing list