[R-sig-ME] covariance structures for longitudinal models

[Joshua Wiley]

Hi Antonio,

I am not familiar with antedependence models so no comment there.

For factor analysis and that genre, I like OpenMx (also see sem and
lavaan).  One thing I like about OpenMx is while it caters to SEM, it
is a general purpose matrix optimizer, and it really is not difficult
to access that power.  So in principal, you can have whatever matrices
you want, roll your own objective function, and away it'll go.

For BUGS you have a lot of options including: R2OpenBUGS and R2WinBUGS
among others.

Cheers,

Josh

On Mon, Jan 2, 2012 at 12:41 AM, Antonio P. Ramos
<ramos.grad.student at gmail.com> wrote:
> Hi all,
>
> I've trying to use R to fit some longitudinal models, mostly via lme and
> nlme packages. However, it seems that many standard models are lacking,
> such as antedependence models or factor analytic models for covariance
> matrices. These models are readily available in SAS. Does an recommend
> other packages for the job in R? I don't really care if I am in frequentist
> or bayesian world as long as I have more modeling flexibility. I would also
> be interested in doing that in WINBUGS/JAGS.
>
> All the best,
>
> Antonio.
>
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>
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-- 
Joshua Wiley
Ph.D. Student, Health Psychology
Programmer Analyst II, Statistical Consulting Group
University of California, Los Angeles
https://joshuawiley.com/