Fitting multi-response mixed effects models with lmer
Alejandro, Ben B. and I taught some examples of "tricking" lmer for multivariate response models, see here https://mac-theobio.github.io/QMEE/MultivariateMixed.html Cheers Ian
On Sun, 14 Jul 2019 at 10:33, jonnations <jonnations at gmail.com> wrote:
Hi Alejandro, This is easy to do in brms, if you?re willing to explore Bayesian options. There is a nice vignette (brms multivariate) that covers this exact thing. Jon On Sun, Jul 14, 2019 at 3:01 AM <r-sig-mixed-models-request at r-project.org> wrote:
Send R-sig-mixed-models mailing list submissions to
r-sig-mixed-models at r-project.org
To subscribe or unsubscribe via the World Wide Web, visit
https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models or, via email, send a message with subject or body 'help' to r-sig-mixed-models-request at r-project.org You can reach the person managing the list at r-sig-mixed-models-owner at r-project.org When replying, please edit your Subject line so it is more specific than "Re: Contents of R-sig-mixed-models digest..." Today's Topics: 1. Fitting multi-response mixed effects models with lmer (Alejandro Catalina) ---------------------------------------------------------------------- Message: 1 Date: Sat, 13 Jul 2019 18:02:20 +0300 From: Alejandro Catalina <alecatfel at gmail.com> To: r-sig-mixed-models at r-project.org Subject: [R-sig-ME] Fitting multi-response mixed effects models with lmer Message-ID: <e44b3683-1a88-45f8-8dc8-1c07595c0dd7 at Spark> Content-Type: text/plain; charset="utf-8" Dear all, I found myself trying to fit a multi-response model with lmer the other day and today I learned that it is indeed not implemented. Is there
anyone
looking on that direction or does anyone have any pointers or
suggestions?
I guess I can iteratively fit one model for each response but I?m
guessing
that would be much slower. Furthermore, I would need to later combine all
the models into a single object for my specific requirements. This is the
issue I opened on lme4?s GitHub:
Hi,
I am trying to solve the following formula with lmer:
cbind(y.1, y.2, y.3) ~ u + (u | floor_id) + (u | county_id)
which works fine for standard lm models without the group terms, but it
fails when I have the mixed effects terms with the following error:
Error in initializePtr() : updateMu: Size mismatch
If this is not the right place to post this issue please tell me, I
appreciate any pointers forward.
Thank you all,
Best,
Alejandro
[[alternative HTML version deleted]]
------------------------------
Subject: Digest Footer
_______________________________________________ R-sig-mixed-models mailing list R-sig-mixed-models at r-project.org https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models ------------------------------ End of R-sig-mixed-models Digest, Vol 151, Issue 10 ***************************************************
-- Jonathan A. Nations PhD Candidate Esselstyn Lab <https://esselstyn.github.io/> Museum of Natural Sciences <https://www.lsu.edu/mns/> Louisiana State University [[alternative HTML version deleted]]
_______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
Ian Dworkin Department of Biology McMaster University Office phone 905 525 9140 ext. 21775 Lab phone 905 525 9140 ext. 20076 dworkin at mcmaster.ca [[alternative HTML version deleted]]