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...ded > modelCompile(numChains=n.chains) model compiled > model.init.name = bugsInits(inits) > modelInits(rep(model.init.name,n.chains)) Initializing chain 1: initial values loaded but chain contain uninitialized variables > modelGenInits() initial values generated, model initialized > modelUpdate(25000) 25000 updates took 1 s > samplesSet(c("sigma2.with","sigma2.btw")) monitor set for variable 'sigma2.with' monitor set for variable 'sigma2.btw' > #dicSet() > modelUpdate(100000) 100000 updates took 5 s > samplesStats("*")...

Dear all, I just try to run the example in R brugs packages, but not only once. Loop is added in this example. After several times (7, 11, or other random number), there is an error message "r for windows gui front-end has stopped working". This happened in two laptops with windows 7 and vista. I have tried different versions of R (2.14.1 and 2.13) and Brugs packages (0.7.1 and 0.7-5).

Hi All, I am trying to figure out how to use R-Coda with the output from OpenBugs. I have installed and loaded the packages BRugs and R2WinBUGS. I have successfully run a simple Bayes model in WinBUGS using R2WinBUGS' "bugs" and have used "read.bugs" to build the coda object. I can successfully switch to OpenBugs and run the same model and get the basic summary

...chain lengths not multiples of 100; truncation may occur.") modelCheck(modelFile) modelData(bugsData(data)) modelCompile(numChains = 1) modelInits(bugsInits(inits)) burninIncSize <- round(nBurnin/(nThin * 100)) for (i in 1:100) { modelUpdate(burninIncSize, thin = nThin) } samplesSet(parametersToSave) iterIncSize <- round(nIter/(nThin * 100)) for (i in 1:100) { modelUpdate(iterIncSize, thin = nThin) } sims <- samplesStats("*") return(list(Stats = sims)) }...

Hello, I want to know if there are some functions or packages to solve differential and integral equation using R. Thanks. Shao chunxuan. [[alternative HTML version deleted]]