Hello,
I seem to be having a similar problem, but with glmer models. Here,
model.avg() doesn't return anything but coefficient values:
fl19<-glmer( corrFLEDGE ~ INFECTION * rsLD * bin.age + (1 | year) + (1 |
RINGNO),data=corrmalaria,family=poisson)
fledglings<-dredge(fl19)
top.fledglings <- get.models(fledglings, subset = delta < 5)
model.avg(top.fledglings)
Call:
model.avg.default(object = top.fledglings)
Component models:
‘236’ ‘12346’ ‘1236’ ‘123456’ ‘12356’ ‘1234567’
Coefficients:
(Intercept) INFECTIONUninf rsLD
1.49862573 0.04925663
0.01954281
INFECTIONUninf:rsLD bin.agejuv
bin.agejuv:INFECTIONUninf
-0.03728832 0.10506037
-0.19701898
bin.agejuv:rsLD bin.agejuv:INFECTIONUninf:rsLD
-0.01630556 0.02379715
Any ideas how I could solve that?
thanks for your help!
best,
Kasia
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