Hello All,



First, I apologize, I did not realize that my first email did not have a subject, I wrote one in, but apparently it did not end up in the email.  So here is a repeat email of my last message with a subject.  Again, my apologies.



I have a study which collected continuous data (area of trap movement) during several observations for 5 different groups (trap types).  The data do not meet the assumptions of a nested ANOVA and I am therefore trying to run a GLMM.  However, because the independent variable is continuous with a large number of zeros I am struggling with determining what to family to include in the model. While looking around, I found that a tweedie distribution may be a possibility.  However, the only examples I can find are running a tweedie with a GLM and do not include a random effect.  The glmer() and lmer() functions cannot include the tweedie distribution in the family argument, nor can the gamlss package.



Is there a way to run a GLMM with a tweedie distribution?



Thank you,



Bryan


______________________
Bryan Danson
Biological Scientist I
Fish and Wildlife Research Institute
Florida Fish and Wildlife Conservation Commission

"The significant problems we have cannot be solved at the same level of thinking with which we created them."
~Albert Einstein



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