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 <franco@grex.cyberspace.org> 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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