Hi Petar,
I've tried to build a model with WinBugs and found out that there is a
limit related to defining variables with discrete distributions. Sorry I
can't remember the details but I think it did not support more than 5
discrete variables as parent of another variable or something like that.
JAGS did not have the same limitation and it let me complete my work.
Again, sorry about not being clear enough about my problem with WinBugs,
but at least I can say that JAGS worked as expected. Maybe there was a way
of handling the problem in WinBugs, but I could not find it.

Kind regards
Seref


On Thu, Aug 30, 2012 at 1:21 PM, Petar Milin <pmilin@ff.uns.ac.rs> wrote:

> Hello ALL!
> Some times ago I started to learn and play with Bayesian stuffs. Many
> advice use of WinBUGS for Bayesian inference Using Gibbs Sampler.
> However, WinBUGS is discontinued, and now, development is under
> OpenBUGS. I wasn't lazy, so I installed both and tried out. In more than
> 90% of cases they give comparable outcome. But in few cases I got
> substantial differences. Recently, I read nice things about JAGS (Just
> Another Gibbs Sampler). However, I did not try it.
>
> Since I am using Linux, Fedora 64-bit, and have Windows XP under
> VirtualBox, I even tested WinBUGS/OpenBUGS under bot Linux and Windows.
> Same, occasional differences repeated.
>
> My question is, as in the Subject: which BUGS should one use? Sintax is
> similar. They are all nicely integrated with R. But, what would be the
> best for a beginner? And for the future too?
>
> Best,
> PM
>
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