hi: you also may want to look at the admit package. it does metropolis hastings using a weighted mixture of t-distributions so you just need to write a function for the likelihood you're trying to get the parameters for. I don't know about it's speed or efficiency for large data sets but you could try it and see what happens. I've used it and it was fine but the data set was not large. good luck.
On Tue, Mar 15, 2011 at 10:20 AM, nblarson <nblar...@gmail.com> wrote: > 64 Bit R w/JAGS seems to be stalling out as well, I ran a test run of 100 > iterations and it's been hanging for 8 hours so that doesn't seem to be the > solution. I'll take a look at PYMC. That CppBUGS package looks pretty > interesting, I'll keep my eye on it. > > My C programming book arrives today from Amazon...so if all else fails... > > -- > View this message in context: > http://r.789695.n4.nabble.com/JAGS-BUGS-on-gene-expression-data-tp3354065p3356723.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. > [[alternative HTML version deleted]] ______________________________________________ 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.
