Dear Luis,
I believe that lmer() doesn't print out standard errors or Wald tests for
variance-covariance components because these tests aren't reliable. You can
omit each random effect from the model in turn, and use anova() to perform a
likelihood-ratio test for the corresponding variance and covariance
components, comparing each null model with the full model.
I hope this helps,
John
--------------------------------
John Fox
Department of Sociology
McMaster University
Hamilton, Ontario
Canada L8S 4M4
905-525-9140x23604
http://socserv.mcmaster.ca/jfox
--------------------------------
> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Luis Salasar
> Sent: Friday, November 24, 2006 1:57 PM
> To: r-help at stat.math.ethz.ch
> Subject: [R] Random effects ANOVA
>
> Hi,
>
> I used the command lmer, in package lme4, to fit a random
> effects ANOVA. But i didn't get the p-values of significance
> tests of variance components. Does anyone know how to do it? Thanks,
>
> Luis Ernesto
>
>
> ---------------------------------
>
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