Hello All, I'm trying to run a one-dimenional irt model using the packages MCMC and coda on a rather large set of roll-call voting data with many missing observations. Here's a sample of the code: Post10<- MCMCirt1d (Italy10, burnin = 1000, mcmc=50000, thin=100, verbose=TRUE, theta.constraints = list(V549=1, V443=-1))
The MCMCirt1d command seems to work fine, but when I try to summarize the output I get the following error message(s): summary(Post10) Error: NA/NaN/Inf in foreign function call (arg 1) In addition: Warning message: Step size truncated due to divergence My understanding is that this has something to do with the missing data, though I don't know how to address this issue. Any help would be greatly appreciated. Thank you, Robin Best ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
