[R-sig-ME] problems with glmmadmb

[Ben Bolker]

No, not really.

* Gamma models are generally less well-tested.  There might be
something wrong with the residuals calculation; I can take a look
(more likely to look if you send a reproducible example).
* As detailed in ?convergence in the lme4 documentation, the
convergence tests give a lot of false positives.  If the estimated
coefficients & log-likelihoods match between glmmadmb and glmer I
think it's OK to trust them.


On Tue, Sep 8, 2015 at 3:19 AM, Daniel Harrison
<daniel at earthoceanspace.com> wrote:
> Hey there,
>
> I am having some problems with glmmadmb.
>
> I am predicting  a series of glmm with gamma distribution.
>
> Glmmadmb converges on all models, however the pearson residuals from every
> model come back as all ŒNA¹.
>
> In glmmer several of the models fail to converge.
>
> Is this expected behaviour with a gamma distribution?
>
> Regards,
>
> Daniel Harrison
> PhD Candidate
> University of Sydney
>
>
>
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>
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