[R-sig-ME] Constraining error variance to 0 in a mixed model.
Rolf Turner
r@turner @ending from @uckl@nd@@c@nz
Fri Jan 11 22:09:02 CET 2019
On 1/12/19 1:40 AM, Mollie Brooks wrote:
> Hi Rolf,
>
> Thanks for the enthusiasm. I believe the ability to force the variance
> into the RE in glmmTMB was Kasper Kristensen’s idea.
>
> I had a look at your example and it seems that it could be a false
> positive coming from nlminb. The maximum gradient component is 2.4e-6,
> so it looks to me like the model converged.
>
> In the future, the glmmTMB developers will reconsider the convergence
> check that relies on nlminb’s convergence codes.
>
> if (!is.null(fit$convergence) && fit$convergence != 0) warning()
Thanks. That's encouraging.
cheers,
Rolf
--
Honorary Research Fellow
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276
More information about the R-sig-mixed-models
mailing list