Pymc is a python module for Bayesian statistical modeling and model fitting which focuses on advanced Markov chain Monte Carlo fitting algorithms. Its flexibility and extensibility make it applicable to a large suite of problems. Pymc includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.
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