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
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