Message-ID: <CADv2QyGX3C-ZGU7e4Y9MR5qUV1y+3Mxv_Ed2Oz+aj9oOe3aqOg@mail.gmail.com>
Date: 2011-11-12T00:29:15Z
From: Dennis Murphy
Subject: multivariate modeling codes
In-Reply-To: <1321043141275-4032624.post@n4.nabble.com>
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 <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.
>
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