Hello all,

I have a dataset looking at lobster trap movement between alternative trap designs.  I am trying to compare the movements of the alternative trap types to a control trap (the current trap used), of which we have measurements from different dates after different movement events (a random effect).  The data is non-normal and the residuals have a pattern when I run an ANOVA or a LME.  I was trying to find a different model to fit for this continuous data which contains zeros (which are important).  I am having a hard time finding another model, or interpreting any of the results of anything I have found.

So far, I have found the cplm package, and seen that someone else suggested that this data be separated, with the zeros being fit with a binomial model, and the other data being fit with another model (not sure which one).  Although I can do both, I'm not sure how to interpret any of the results, or for that matter pull them out after running 'cpglmm()'.

Any help or suggestions of where to look further into working with this kind of data would be greatly appreciated.  I will say that I am still trying to learn a lot of these more complicated models and only recently feel comfortable with regular GLMMs for the majority of my other data.

Thank you,

Bryan

______________________
Bryan Danson
Biological Scientist I
Fish and Wildlife Research Institute
Florida Fish and Wildlife Conservation Commission
2796 Overseas Hwy, Suite #119
Marathon, FL 33050

"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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