Hello,
I'm trying to run a Burnham joint live encounter and dead recovery model estimating survival rates for a population of sea lions. All individuals are tagged as young and my aim is to identify survival rates for different ages/ age classes. Model selection indicates that the top model does not have high support so I am trying to model average survival rates.
My issue is that the candidate models have different structures for the survival parameter (S), therefore when I try to model average survival rates for a certain age (say 3 year olds), that parameter is individually identifiable in some models but not others (e.g. ages of 3 upwards have the same survival rate in certain models but not others).
What is the best approach to model averaging in this situation? Is there a way I can select a subset of models from the model selection results window on which to run model averaging?
Thanks very much,
Moss