Simulate distribution functions from Dirichlet Process priors when the distribution of data is unknown. Then, using the conjugacy of the DPP, simulate from the posterior after obtaining data. Finally, approximate the posterior density with intervals around values in the range.
Package details 


Maintainer  
License  GPL2 
Version  0.1.0 
Package repository  View on GitHub 
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