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R-LearnBayes - Functions for Learning Bayesian Inference

Description:

LearnBayes contains a collection of functions helpful in learning the
basic tenets of Bayesian statistical inference.  It contains functions for
summarizing basic one and two parameter posterior distributions and
predictive distributions.  It contains MCMC algorithms for summarizing
posterior distributions defined by the user.  It also contains functions
for regression models, hierarchical models, Bayesian tests, and
illustrations of Gibbs
sampling.

Packages

- initial package for Fedora

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