problems with glmmadmb

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

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 ?NA?.

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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