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A collection of functions for learning Bayesian statistical inference, created by Jim Albert. It contains functions for summarizing basic one and two parameter posterior and predictive distributions. The collection also includes MCMC algorithms for user-defined posteriors, plus functions for regression models, hierarchical models, Bayesian tests, and Gibbs sampling illustrations.
This appears to be a software library of functions rather than a traditional dataset; users should expect code.