freebsd-ports/math/py-pymc/distinfo
Martin Wilke 8cdb0ad932 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>
2008-12-14 10:37:39 +00:00

3 lines
190 B
Text

MD5 (pymc-2.0rc1.tar.gz) = b8e8bc8e72b23a0215d10e13839738d8
SHA256 (pymc-2.0rc1.tar.gz) = fdb7b27c01509e2293d8905697feee3a157478393683eab3deb46a02f486f70a
SIZE (pymc-2.0rc1.tar.gz) = 978218