[R] MuMIn Problem getting adjusted Confidence intervals

[KKulma]

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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