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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)
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