R help - Feb 2008 - lmer in package of lme4

Dear Sir/madam,

I use lmer to extract model in your package of lme4. It seems works
well. But the problem is when I use anova/summary the extracted model,
no p-value is shown at all. In previous version(nlme), I mainly use
p-value to judge which term is significant or not, and then make a
decision to keep this term or not. Does it means that sth wrong with my
installation of package/R? or you use other value to judge the
significance of terms?

Many thanks for your help in advance!

Best wishes,

Ping.

Rather than go over all of this again, see here

http://wiki.r-project.org/rwiki/doku.php?id=guides:lmer-tests

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WANG <ping.wang <at> newcastle.ac.uk> writes:
> I use lmer to extract model in your package of lme4. It seems works
> well. But the problem is when I use anova/summary the extracted model,
> no p-value is shown at all. In previous version(nlme), I mainly use
> p-value to judge which term is significant or not, and then make a
> decision to keep this term or not. Does it means that sth wrong with my
> installation of package/R? or you use other value to judge the
> significance of terms?
   As it turns out, assessing the significance of fixed-effects terms
in a mixed model is potentially a huge problem.  Essentially, Doug
Bates no longer feels that the simple denominator-degrees-of-freedom 
approach that was used in nlme is reliable.

http://wiki.r-project.org/rwiki/doku.php?id=guides:lmer-tests&s=bates%20mixed

   After reading all of this (and checking out mcmcsamp in the lme4 package),
you may need to turn to r-sig-mixed at r-project.org for further assistance ...

  good luck,
    Ben Bolker