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Package: python-pymc-doc (2.2+ds-1.1)

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Bayesian statistical models and fitting algorithms

PyMC is a Python module that implements Bayesian statistical models and fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable to a large suite of problems. Along with core sampling functionality, PyMC includes methods for summarizing output, plotting, goodness-of-fit and convergence diagnostics.

This package provides the documentation in HTML format.

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