summary(model.avg(...)) gives much more information.
pozdrowienia,
kamil
Dnia 2012-06-28 12:00, KKulma<katarzyna.ku...@ebc.uu.se> pisze:
Message: 60
From: KKulma<katarzyna.ku...@ebc.uu.se>
To:r-help@r-project.org
Subject: Re: [R] MuMIn Problem getting adjusted Confidence intervals
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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