glmm with a tweedie distribution
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