Frank, You might want to use a package that is associated with some textbook that can give you guidance and examples. A lot of people would do this with WinBUGS, which is usually run separately although it has some kind of R interface. I'm sure there are lots of nice texts about that package. You might have a look at the bayesm package. For that, you can find lots of examples in a text on Bayes in marketing (Rossi et al.) David Farrar New River Analytic 540-818-7373 Frank Grex <[EMAIL PROTECTED]> wrote: Hi, I need a help to know whether I can perform the following in R: I have a set of observations (Ns) and each observation is drawn from a poisson distribution with an unkown mean, lambda. The set of lambdas in their turn are drawn from a common prior distribution which is supposed to be a a mixture of two gamma distributions. Is there a way to determine the poisson means in R, given the Ns and the probabilities? And how can one determine the two alphas and the two betas of the gamma mixtures? I am assuming there will be an MLE somewhere. This is to help me understand and apply William DuMouchel concept of datamining especially in his article: "Bayesian data mining in large frequency tables". Thanks
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