Whit Armstrong is building a R-centric BUGS (RcppBugs) which looks very powerful as well: you might talk to him about it.
www.rinfinance.com/agenda/2012/talk/WhitArmstrong.pdf https://github.com/armstrtw/rcppbugs Cheers, Michael On Thu, Aug 30, 2012 at 3:12 PM, Seref Arikan <serefari...@kurumsalteknoloji.com> wrote: > 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 <pmi...@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 >> >> ______________________________________________ >> 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. >> > > [[alternative HTML version deleted]] > > ______________________________________________ > 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.