Try using mcmcsamp() to sample from the posterior distribution of the
parameter estimates. You can calculate a p-value from that, if that is
your desire. Instructions are in the R wiki:
http://wiki.r-project.org/rwiki/doku.php?id=guides:lmer-tests
HTH,
Simon.
Dan Bebber wrote:> Hello,
> I've just located the illuminating explanation by Douglas Bates on
degrees
> of freedom in mixed models.
> The take-home message appears to be: don't trust the p-values from lme.
> Questions:
> Should I give up hypothesis testing for fixed effects terms in mixed
models?
> Has my time spent reading Pinheiro & Bates been in vain?
> Is there a publication on this issue?
>
> Thanks,
> Dan Bebber
>
> Department of Plant Sciences
> University of Oxford
>
> ______________________________________________
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> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
--
Simon Blomberg, B.Sc.(Hons.), Ph.D, M.App.Stat.
Centre for Resource and Environmental Studies
The Australian National University
Canberra ACT 0200
Australia
T: +61 2 6125 7800 email: Simon.Blomberg_at_anu.edu.au
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The combination of some data and an aching desire for
an answer does not ensure that a reasonable answer
can be extracted from a given body of data.
- John Tukey.