anova() cannot be used for GLMMs. If you really want to compare models,
deviance maybe a choice.

On Wed, Dec 10, 2008 at 7:00 PM,
<r-sig-mixed-models-request@r-project.org>wrote:

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>   1. single argument anova for GLMMs not yet implemented (R.S. Cotter)
>
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> ----------------------------------------------------------------------
>
> Message: 1
> Date: Wed, 10 Dec 2008 10:24:23 +0100
> From: "R.S. Cotter" <cotter.rs@gmail.com>
> Subject: [R-sig-ME] single argument anova for GLMMs not yet
>        implemented
> To: r-sig-mixed-models@r-project.org
> Message-ID:
>        <742479270812100124j77555e56i6008915643ead1b3@mail.gmail.com>
> Content-Type: text/plain; charset=ISO-8859-1
>
> Dear all,
>
> Sorry if the question i stupid, I'm pretty new to this and have
> googled, and tried the help in R without finding a answer.
>
> I have sucsessfully used glmm, lmer {lme4}, family binomial. By using
> the summary (mod), I get the parameter estimates, but when using anova
> (mod) I get this error message: Error in anova(mod) :  single argument
> anova for GLMMs not yet implemented.
>
> I'm used to run lme {nlme} by using both summary () and anova (), is
> that impossible when running glmm, lmer {lme4}?
>
> Thanks for help
>
> RS Cotter
>
>
>
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> End of R-sig-mixed-models Digest, Vol 24, Issue 12
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>



-- 
With Kind Regards,

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