[R-sig-ME] R Consortium call for funding

[Martin Maechler]

>>>>> Peter Claussen via R-sig-mixed-models 
>>>>>     on Tue, 25 Sep 2018 16:17:42 -0500 writes:

    > Personally, I’m trying to duplicate some standard repeated measures analysis from SAS and am missing Kenward-Roger and Satterthwaite corrections for nlme. I had some concerns about lmeTest, but I haven’t looked at that in a while - I’m a bit more concerned with structure error covariances.

I assume you mean 'lmerTest' above, the CRAN package originally
mostly by Rune Haubo Christensen
       https://cran.r-project.org/package=lmerTest

I think its Satterthwaite (and Kenward-Roger via CRAN package
'pbkrtest') 'df' approximation computations have become quite
reliable, after Rune's recent refurbishing, see also
	  https://htmlpreview.github.io/?https://github.com/runehaubo/lmerTestR/blob/master/pkg_notes/Satterthwaite_for_LMMs.html

-- as always at least as long as you refrain from fitting much
   overparametrized models -- which you should even though some
   authors tell you to do so.


Martin Maechler
ETH Zurich

    > Cheers,

    >> On Sep 25, 2018, at 3:51 PM, Ben Bolker <bbolker using gmail.com> wrote:
    >> 
    >> 
    >> https://www.r-consortium.org/announcement/2018/09/25/fall-2018-isc-call-for-proposals
    >> 
    >> "What can you do to improve the R ecosystem and how can the R Consortium
    >> help you do it?"
    >> 
    >> The mixed-model ecosystem is admittedly a small part of the R
    >> ecosystem, but I (biasedly) think it's an important one.
    >> 
    >> If people have ideas & opinions about how a chunk of money on the
    >> order of $10,000 could be valuably spent to improve the mixed-model
    >> ecosystem in a way that would be appealing to a very broad audience of
    >> useRs, please discuss.
    >> 
    >> The deadline for submitting a proposal is midnight PST, Sunday October
    >> 31, 2018.
    >> 
    >> 
    >> cheers
    >> Ben Bolker
    >> 
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