Hi: 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: http://www.quantumforest.com/2011/11/coming-out-of-the-bayesian-closet-multivariate-version/
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. HTH, Dennis On Fri, Nov 11, 2011 at 12:25 PM, yurirouge <lilysh...@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@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. > ______________________________________________ R-help@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.
