[R-sig-ME] Constraining error variance to 0 in a mixed model.
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.
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Department of Statistics
University of Auckland
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