Dear mixed modelers,

I have been modelling fish biomass according to some environmental
parameters using mixed effect models (gamm4 package). I don't want to bore
you with the details of my models since I believe that they are not
significant to the point of this message. However, please feel free to ask
me about anything in case you think it is important. I have some GAMM
candidates already. I am able to get AIC, BIC, R-sq, ... scores for these
models but, unfortunately, I can't obtain deviance explained from them.

I have found an interesting procedure to try to derive it, published by
Gilman and colleagues in 2012. Here is the complete reference in case any
of you want to take a look to it:

"Gilman, E., Chaloupka, M., Read, A., Dalzell, P., Holetschek, J., Curtice,
C., 2012. Hawaii longline tuna fishery temporal trends in standardized
catch rates and length distributions and effects on pelagic and seamount
ecosystems. Aquatic Conservation: Marine and Freshwater Ecosystems 22(4),
446-488."

Nevertheless, the procedure explained in the paper above do not provide us
with the exact score. Thus, I have been considering other options like
using the deviance explained of a equivalent GAM with the random effect as
a spline term [s(x, bs="re")] but I don't know how accurate it would be. Do
you think it can be used as an approximation for the GAMM's deviance
explained? What are your feelings on that?

Any suggestion would be appreciated,

Thousands of thanks,

Jon Lopez

---------------------------------
PhD candidate
AZTI-Tecnalia, Spain

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