[R] multivariate modeling codes

Dennis Murphy djmuser at gmail.com
Sat Nov 12 01:29:15 CET 2011


R-Bloggers picked up on this web site that contains several
interesting posts re usage of R, including this one on using a
Bayesian approach to multivariate mixed effects models using the
MCMCglmm package:

With multiple responses in a longitudinal study, this might be of
interest to you. A similar question re multivariate response was asked
a few days ago on R-sig-mixed-models, where Kevin Wright posted the
above link. I'd suggest that future questions on this subject be moved
to that group.


On Fri, Nov 11, 2011 at 12:25 PM, yurirouge <lilyshlim at msn.com> wrote:
> HI,
> I am relatively new to R and would appreciate some help or directions for
> this.
> I am trying to model 3 longitudinal outcomes jointly and to identify some
> predictors for these 3 joint outcomes (all continuous). I am trying to find
> some codes that I may modify to do this but cannot seem to find anything.
> --
> View this message in context: http://r.789695.n4.nabble.com/multivariate-modeling-codes-tp4032624p4032624.html
> Sent from the R help mailing list archive at Nabble.com.
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.

More information about the R-help mailing list