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Metadata-Version: 1.1
Name: pymc
Version: 2.2
Summary: Markov Chain Monte Carlo sampling toolkit.
Home-page: github.com/pymc-devs/pymc
Author: Christopher Fonnesbeck, Anand Patil and David Huard
Author-email: fonnesbeck@gmail.com 
License: Academic Free License
Description: 
                    Bayesian estimation, particularly using Markov chain Monte Carlo (MCMC),
                    is an increasingly relevant approach to statistical estimation. However,
                    few statistical software packages implement MCMC samplers, and they are
                    non-trivial to code by hand. ``pymc`` is a python package that implements the
                    Metropolis-Hastings algorithm as a python class, and is extremely
                    flexible and applicable to a large suite of problems. ``pymc`` includes
                    methods for summarizing output, plotting, goodness-of-fit and convergence
                    diagnostics.
        
                    ``pymc`` only requires ``NumPy``. All other dependencies such as ``matplotlib``,
                    ``SciPy``, ``pytables``, ``sqlite`` or ``mysql`` are optional.
                    
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Academic Free License (AFL)
Classifier: Programming Language :: Python
Classifier: Programming Language :: Fortran
Classifier: Topic :: Scientific/Engineering
Requires: NumPy (>=1.6)