Discussion:
[R-sig-ME] R-sig-mixed-models Digest, Vol 141, Issue 25
David Disabato
2018-09-26 20:34:14 UTC
Permalink
I would agree with others about the ability for lme4 to more easily and
flexibly specify the random effect variance-covariance matrix, including
autocorrelation for longitudinal models, as is available in nlme, SPSS, and
SAS.
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1. R Consortium call for funding (Ben Bolker)
2. Re: R Consortium call for funding (Andrew Robinson)
3. Re: R Consortium call for funding (Peter Claussen)
4. Re: R Consortium call for funding (Lize van der Merwe)
5. Re: R Consortium call for funding (Martin Maechler)
---------- Forwarded message ----------
Date: Tue, 25 Sep 2018 16:51:24 -0400
Subject: [R-sig-ME] R Consortium call for funding
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
---------- Forwarded message ----------
Date: Wed, 26 Sep 2018 07:06:15 +1000
Subject: Re: [R-sig-ME] R Consortium call for funding
Hi Ben,
I do really miss the variance functions of nlme, and the temporal and
spatial autocorrelation handling.
Warm wishes,
Andrew
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
_______________________________________________
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
--
Andrew Robinson
Director, CEBRA, School of BioSciences
Reader & Associate Professor in Applied Statistics Tel: (+61) 0403 138 955
School of Mathematics and Statistics Fax: (+61) 03
8344 4599
University of Melbourne, VIC 3010 Australia
Website: http://www.ms.unimelb.edu.au/~andrewpr
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---------- Forwarded message ----------
Date: Tue, 25 Sep 2018 16:17:42 -0500
Subject: Re: [R-sig-ME] R Consortium call for funding
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.
Cheers,
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
_______________________________________________
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
---------- Forwarded message ----------
Date: Wed, 26 Sep 2018 09:56:06 +0200
Subject: Re: [R-sig-ME] R Consortium call for funding
Thankyou.
I would like to see the functionality of nlme and lmer4 combined,
especially
regarding variance-covariance structure.
Regards
Lize van der Merwe
-----Original Message-----
Behalf Of Ben Bolker
Sent: Tuesday, 25 September 2018 22:51
Subject: [R-sig-ME] R Consortium call for funding
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
_______________________________________________
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
---------- Forwarded message ----------
Date: Wed, 26 Sep 2018 10:00:44 +0200
Subject: Re: [R-sig-ME] R Consortium call for funding
Peter Claussen via R-sig-mixed-models
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,
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
_______________________________________________
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
_______________________________________________
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
_______________________________________________
R-sig-mixed-models mailing list
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
--
David J. Disabato, M.A.
Clinical Psychology Doctoral Student
George Mason University
***@gmu.edu

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