[R-sig-ME] nlme:lme pseudo-replicate degrees of freedom
bbo|ker @end|ng |rom gm@||@com
Tue Jul 21 01:35:48 CEST 2020
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
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.
> Steve Edland
> Steven D. Edland, Ph.D.
> 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
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