[R-sig-ME] Denominator df in glmer

[Ben Bolker]

  I can't remember any more where I saw the commentary, but I'm pretty
sure that in Walt Stroup's book he mentions that Kenward-Roger seems to
work pretty well for GLMMs, even though it doesn't have much theoretical
justification (it was developed for LMMs).  However, he also mentions
somewhere that in order to make it work (i.e. to be able to extract the
quantities on which the K-R approximation is based) you have to use a
pseudo-likelihood approach (which lme4 doesn't).

  I agree that the URL Mollie provides should give you useful
information (especially the "Df alternatives" section) ...


On 2018-12-06 5:57 a.m., Mollie Brooks wrote:
> Hi Diana,
> 
> Here’s some documentation on that topic. 
> https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html#why-doesnt-lme4-display-denominator-degrees-of-freedomp-values-what-other-options-do-i-have <https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html#why-doesnt-lme4-display-denominator-degrees-of-freedomp-values-what-other-options-do-i-have>
> 
> cheers,
> Mollie
> 
> ———————————
> Mollie E. Brooks, Ph.D.
> Research Scientist
> National Institute of Aquatic Resources
> Technical University of Denmark
> 
>> On 6Dec 2018, at 10:21, Kornbrot, Diana <d.e.kornbrot using herts.ac.uk> wrote:
>>
>> Simple question. How does one obtain denominator df for F testa   resulting  from glmer?  Do  not appear  in anova()
>> Many  thanks
>> Diana
>>
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