Dear Professor Bolker, I am looking into life history data of sea lions at the moment and would like to test what influences the length of the inter-birth interval. My response variable shows a clear poisson distribution but as I don't have any zeros in my inter-birth interval, I use a zero truncated model. The full model: glmmadmb(IBI..years.~ sex.first.offspring + SST.Jan.May. + IBI.of.previous.pup + birthyear_mother.num + birthyear_pup.num + first.offspring.of.interval.died.within.1st.year + (1|AnimalID), family="truncpoiss", data=IBI_successive_pups_sexmat_OF_sex) I couldn't find any information though how to calculate the marginal R square in that case, could you point me towards a document or solution for it? Thanks a lot and best, Stephanie Kalberer
___________________________ Stephanie Kalberer PhD Candidate Galapagos Sea Lion Project Department of Animal Behaviour Bielefeld University Germany [[alternative HTML version deleted]]