Dear list
I'm using hurdle models to model fish count data versus habitat variables. Because I got too many interpretable models (based on Akaike weights) I would like to do model averaging and estimate the relative importance (weight) of each habitat variables in each component of the hurdle (zero and abundance component). I tried the MuMIn package which works fine, but it doesn't give the relative importance of the habitat variables for each component, instead it gives the importance of the variables for the whole model. Do you know how can I get the relative importance of the variables for each component of the averaged model? Thanks in advance Joana Martelo [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list R-sig-ecology@r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-ecology