[R-sig-ME] nlme:lme pseudo-replicate degrees of freedom

[Ben Bolker]

    Can you point to a reference that explains the issue (e.g. mailing 
list thread or ... something on the R bug tracker or ... ?)  I do know 
that there's an issue with df of random-slopes models which is 
illustrated under "Df alternatives" at 
https://bbolker.github.io/mixedmodels-misc/glmmFAQ.html#why-doesnt-lme4-display-denominator-degrees-of-freedomp-values-what-other-options-do-i-have

  I wrote some code (linked from the above discussion, available from 
https://bbolker.github.io/mixedmodels-misc/R/calcDenDF.R ) ; it uses the 
same kind of "semantic"/containment method, nothing with a quantitative 
basis like Satterthwaite/etc., but it does do a somewhat better job on 
random-slopes models. (I'm sure it could be improved.)

On 7/19/20 12:44 PM, Edland, Steven wrote:
> I notice that nlme:lme (vers. 3.1.145) still has the pseudo-replicate degrees of freedom bug when applied to the usual random slopes model of longitudinal repeated measures.
>
> Has anyone written a lmerTest equivalent wrapper for lme, or is there any other available work-around?
>
> Thank you in advance for any advice on this issue.
>
> Sincerely,
> Steve Edland
>
> Steven D. Edland, Ph.D.
> Professor
> Dept. of Family Medicine & Public Health
> Dept. of Neurosciences
> University of California, San Diego
> 9500 Gilman Dr. M/C 0948
> La Jolla, CA 92093-0948
> http://biostat.ucsd.edu/sedland.htm
>
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