Mixture

What problem are you trying to solve?  Mixing Gaussian and 
hypergeometric distributions seems to me like mixing apples and volts: 
The Gaussian or normal distribution is continuous, while the 
hypergeometric is discrete.  Poisson and binomial are both discrete, but 
the first represents counts of events assumed to be independent with no 
theoretical upper limit, while the binomial is the number of "successes" 
out of a fixed number of trials.  This is more like comparing a rain 
storm with a bottle of water.

	  If you tell us more about the problem you are trying to solve 
(preferably following the posting guide, 
"www.R-project.org/posting-guide.html"), you might get more useful 
replies.

	  I know this doesn't answer your question, but I hope it helps.
	  Spencer Graves
p.s.  I just got 45 hits to 'RSiteSearch("mixtures of distributions")'. 
  I don't know if any of this can help you.

How can I do a mixture of distribution in R? For exemple an Gaussian and Hipergeometric? or Poison and Binomial

Walmir

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This looks like a parameter mix distribution.  Si a binomial distr with 
parameters (N,p)  where the parameter N
now is **not** fixed but varies as poisson with intensity say lambda. 
Then we have a new distribution which is poisson with intensity (lambda*p) 
[so mixture =a conditional distribution given the parameter and the 
distribution of the parameter itself ]

I vaguely think this may be possible with the distrEx package.

Best,
Krishna

  What problem are you trying to solve?  Mixing Gaussian and 
hypergeometric distributions seems to me like mixing apples and volts: 
The Gaussian or normal distribution is continuous, while the 
hypergeometric is discrete.  Poisson and binomial are both discrete, but 
the first represents counts of events assumed to be independent with no 
theoretical upper limit, while the binomial is the number of "successes" 
out of a fixed number of trials.  This is more like comparing a rain 
storm with a bottle of water.