[R-sig-ME] glmm with a tweedie distribution

[Ben Bolker]

Danson, Bryan <Bryan.Danson at ...> writes:

> 

[snip]
>  however I received the following warning:
> 
> glm.fit: algorithm did not converge

  This is probably harmless -- it means that an intermediate
GLM step didn't quite work, probably because you have strongly
separated data (i.e. some places/factor combinations
etc. with all-zero or all-one data)
 
> Does anyone have any suggestions on how to address this?  My data is
> fairly simple, a distance measurement for each of several trap types
> on different dates.
 
> Also, I was trying to produce a summary of the model, however I cannot get the
commands to work.  I tried
> summary(model) which returned:

 
> Error in UseMethod("fixef") : no applicable method for 'fixef'
>   applied to an object of class "c('cpglmm', 'mer', 'cplm')"
 
> >From reading through the literature on the "cplm" package, it suggests:
> 
> summary signature(object = "cpglm")
> 

  Can we see the results of sessionInfo()? I suspect you have a
problem with methods from some packages masking others.  If you have
installed lme4 from r-forge, I suspect you should re-install it from
CRAN ...

  Ben