summary(model.avg(...)) gives much more information.
pozdrowienia,
kamil
Dnia 2012-06-28 12:00, KKulma pisze:
Message: 60
From: KKulma
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
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 <- ge
Kamil Bartoń uni-wuerzburg.de> writes:
>
> Hi Marcos,
>
> The 'adjusted CI' (based on the 'adjusted se estimator'
> as in section 4.3.3 of Burnham & Anderson
> 2002) cannot be calculated for 'lmer' model because it
> does not give df's for the coefficients.
>
> kamil
If you're willing to
@r-project.org pisze:
Message: 42
Date: Mon, 29 Aug 2011 08:28:22 -0700 (PDT)
From: Marcos Lima
To:r-help@r-project.org
Subject: [R] MuMIn Problem getting adjusted Confidence intervals
Message-ID:<1314631702645-3776500.p...@n4.nabble.com>
Content-Type: text/plain; charset=UTF-8
Hello R users
Hello R users
I'm using MuMIn but for some reason I'm not getting the adjusted confidence
interval and uncoditional SE whe I use model.avg().
I took into consideration the steps provided by Grueber et al (2011)
Multimodel inference in ecology and evolution: challenges and solutions in
JEB.
I cre
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