K 10
svn:author
V 4
miwi
K 8
svn:date
V 27
2008-12-14T10:37:39.000000Z
K 7
svn:log
V 623
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.

WWW:	http://pypi.python.org/pypi/pymc/

PR:		ports/129567
Submitted by:	Wen Heping <wenheping at gmail.com>

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