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.
