Florian Weiler wrote: > Thanks for your answer, Ben. Indeed I tried to use the newest R > version, but just to be sure I tried it again just now, with the same > result, i.e. R crashes. Unfortunately I cannot even look at the system > configurations as this is a university computer and they (stupidly) > don't give us administrator rights on our machines. I'll have to > discuss this with our IT once I'm back home. > But one thing you mentioned I didn't really realize before is > interesting, which is that I don't get any messages from Jags before > the crash. Indeed looking at the Jags-window it doesn't do anything. > What you see on your computer is exactly what I would like to see, but > it doesn't even start compiling. So it might be a problem with Jags. I > just tried to use another version of Jags (the older 2.0 version). > However, now I cannot load the library of rjags any more and I don't > understand why. Is there another package I need to install when using > an older version of Jags? Thanks again, Florian > I believe you might have to install an older version of rjags <http://cran.r-project.org/src/contrib/Archive/rjags/> -- I've had problems in the other direction (trying to use new JAGS with older rjags) and think there may be some dependencies there. However, trying to use an older JAGS seems a bit desperate to me. I would probably start by trying to run JAGS from a Windows shell (see the JAGS manual for examples), so that you can decide whether rjags is part of the problem, or whether it's a pure JAGS issue. > > On Tue, Aug 31, 2010 at 12:38 AM, Ben Bolker <bbol...@gmail.com> wrote: > >> Florian Weiler <fweiler08 <at> johnshopkins.it> writes: >> >> >>> First I create some data: >>> N <- 1000 >>> x <- rnorm(N, 0, 5) >>> >>> Then I specify a model in JAGS, storing it in the directory with the >>> extension .bug: >>> model { >>> for (i in 1:N) { >>> x[i] ~ dnorm(mu, tau) ## the model >>> } >>> mu ~ dnorm(0, .0001) ## uninformative priors >>> tau <- pow(sigma, -2) >>> sigma ~ dunif(0, 100) >>> } >>> >>> Then I call the rjags library and finally I try to run the jags model: >>> library('rjags') >>> >>> jags <- jags.model('example.bug', >>> data = list('x' = x, >>> 'N' = N)) >>> >>> This is where its always crashing, i.e. I don't get an error message, >>> but R simply stops working and I have to close and reopen the program. >>> I don't even start drawing samples from the model, it just crashes the >>> moment I try to call on JAGS. >>> >>> >> [snip] >> >> >>>> My problem is that every >>>> single time I want to call JAGS from R the latter crashes (i.e. it >>>> turns pale and the Windows tells me "R has stopped working". >>>> Strangely, if there is a mistake in my jags code, this will be >>>> reported without a crash. Only when the code is right and the model >>>> should start to run, R stops working. I already tried to use different >>>> version of R (currently R 2.10.1 and JAGS-2.1.0-1),but to no avail. A >>>> couple of days ago I even upgraded from Vista to Windows 7, hoping >>>> this would sort our the problem, but its still exactly the same. Could >>>> anyone think of a possible solution for this problem? >>>> >>>> I worked on other computers using Windows without encountering the >>>> described problem. However, I am quite new to using JAGS, so I might >>>> just be missing the obvious. >>>> >> This sort of thing is unfortunately really hard to debug remotely. >> Is it feasible to upgrade to the latest release of R (2.11.1), JAGS, and >> rjags, just to rule that out as a possibility? You said you had >> used other Windows machines where it worked -- do they have >> similar configurations? Can you try to look for differences in the >> configurations? Do you get any messages at all from JAGS before >> the program stops (I get >> >> Compiling model graph >> Resolving undeclared variables >> Allocating nodes >> Graph Size: 1009 >> >> |++++++++++++++++++++++++++++++++++++++++++++++++++| 100% >> >> : does any of this appear before R crashes)? >> >> ______________________________________________ >> 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. >> >>
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