[SOLVED] Model averaging with MuMIn: interpretation of coefficient-names in results

Model averaging with MuMIn: interpretation of coefficient-names in results

I am doing model averaging with MuMIn and trying to interpret the results. Everything works fine, but I am wondering about the names of my coefficients in the results:

Model-averaged coefficients:  
(full average) 
                     Estimate Std. Error Adjusted SE
cond((Int))         0.9552775  0.0967964   0.0969705
cond(Distanzpunkt) -0.0001217  0.0001451   0.0001453
cond(area_km2)      0.0022712  0.0030379   0.0030422
cond(prop)          0.0487036  0.1058994   0.1060808

Does someone know, what "cond()" tells me and why it appears in the model output?

Within the models, the coefficients are named "Distanzpunkt", "area_km2" and "prop".

Solution

Were you fitting a zero inflation model with glmmTMB? If so, then cond() is referring to the terms in the conditional model, rather than the zero-inflation model.