Hi again, I was asked to provide some code. Well, in my case it doesn't really matter which example I use, so I just write down a very basic and canned example:
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. Sorry for not providing the example right away, Florian On Mon, Aug 30, 2010 at 9:17 AM, Florian Weiler <fweile...@johnshopkins.it> wrote: > Dear all, > > I have a question regarding using JAGS and R. 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. > > Thanks for your help and precious time, > Florian > ______________________________________________ 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.