[R] MuMIn Problem getting adjusted Confidence intervals

[Kamil Bartoń]

summary(model.avg(...)) gives much more information.

pozdrowienia,
kamil


Dnia 2012-06-28 12:00, KKulma<katarzyna.kulma w ebc.uu.se> pisze:
> Message: 60
> From: KKulma<katarzyna.kulma w ebc.uu.se>
> To:r-help w 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
>