Re: [R] Which BUGS should one use?

Hi Petar, I've tried to build a model with WinBugs and found out that there is a limit related to defining variables with discrete distributions. Sorry I can't remember the details but I think it did not support more than 5 discrete variables as parent of another variable or something like that. JA

Re: [R] Best practices for handling very small numbers?

orm of the posterior. Any pointers (papers, books) towards large scale data processing with MCMC, and Gibbs sampling in particular would be much appreciated. Kind regards Seref On Tue, Oct 18, 2011 at 11:12 AM, Duncan Murdoch wrote: > On 11-10-18 4:30 AM, Seref Arikan wrote: > >> Hi

Re: [R] Best practices for handling very small numbers?

ly obvious. Regards Seref On Mon, Oct 17, 2011 at 6:15 PM, Nordlund, Dan (DSHS/RDA) < nord...@dshs.wa.gov> wrote: > > -Original Message- > > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- > > project.org] On Behalf Of Seref Arikan > > Sent:

[R] Best practices for handling very small numbers?

Greetings I have been experimenting with sampling from posterior distributions using R. Assume that I have the following observations from a normal distribution, with an unscaled joint likelihood function: normsamples = rnorm(1000,8,3) joint_likelihood = function(observations, mean, sigma){ r