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Error in glmmADMB

Boris Berkhout <b.berkhout at ...> writes:
If you want to fit a binomial model, you need to specify the
_number_ surviving and the total (denominator), as in

glmmadmb(cbind(nSurv,nTotal) ~ ....)

in your case this might? be cbind(dead_cc,total) ?

otherwise I'm afraid the results won't make sense.  (glmer() has syntax
proportion~..., weights=nTotal , so that you can use the proportion as
the response variable, but I haven't implemented a similar
syntax for glmmADMB ...

  Are you sure you need zero-inflation in the binomial?  Did you try
it first with zeroInflation=FALSE?

  I'm also afraid that with snail crossed with everything else you'll
be overfitting your model: what is

ncol(model.matrix(~temperature*snail*tank*plate,data=SurvSing8))

?

In this case you are fitting the _interaction_ between snail and
the three-way interaction of temperature, tank, plate.  Was each
snail really measured in all combinations of temperature, tank,
and plate???
 

 [snip]