Hi all, I've managed to get JAGS working on my Ubuntu Hardy Linux with a 32-bit computer and AMD processors using R 2.8.1. JAGS is great. I've read that JAGS is the fastest, but that hasn't been my experience. At any rate, I have more experience with WinBUGS under Windows and would like a version of that working as well.
It seems like I've read a lot on the subject and tried a lot, but haven't managed to get BUGS to work yet. The most success I've had is to install WinBUGS or OpenBUGS using this method: http://www.math.aau.dk/~slb/kurser/bayes-08/install.html What you also need to know is that you need to open Wine and add a drive. Although Z is recommended, I haven't been able to specify it, but have gotten a D drive to work, using: wine D:/opt/OpenBUGS/winbugs.exe Using this method, OpenBUGS opens. Now, to be able to open it with R. I've read all sorts of discussions about BRugs (which is no longer on CRAN, but old versions can still be found), rbugs, and R2WinBUGS (which I'm used to using on Windows with WinBUGS). Some people say R2WinBUGS cannot run OpenBUGS on Linux, some claim they've done it (I think). It seems the same thing with everything else. I've tried making the linbugs and cbugs file recommended elsewhere online. It's all very confusing. Can someone show a method that works currently, along with some sample code? I'm also new to Linux, and confused by path conventions. For example, in rbugs, it shows an example of a path such as "/var/scratch/jyan/wine-20040408/wine", and I don't see how to modify this. I have no /var/scratch to begin with, and think Wine is installed in /home/me/.wine...(I don't have Linux in front of me right now). Please help. Thanks. -- View this message in context: http://www.nabble.com/How-to-connect-R-and-WinBUGS-OpenBUGS-LinBUGS-in-Linux-in-Feb.-2009-tp22058716p22058716.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.