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/ Fix: Patch attached with submission follows:
Responsible Changed From-To: freebsd-ports-bugs->miwi miwi@ wants his PRs (via the GNATS Auto Assign Tool)
State Changed From-To: open->closed Committed. Thanks!
miwi 2008-12-14 10:37:39 UTC FreeBSD ports repository Modified files: math Makefile Added files: math/py-pymc Makefile distinfo pkg-descr pkg-plist Log: 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> Revision Changes Path 1.574 +1 -0 ports/math/Makefile 1.1 +26 -0 ports/math/py-pymc/Makefile (new) 1.1 +3 -0 ports/math/py-pymc/distinfo (new) 1.1 +11 -0 ports/math/py-pymc/pkg-descr (new) 1.1 +245 -0 ports/math/py-pymc/pkg-plist (new) _______________________________________________ cvs-all@freebsd.org mailing list http://lists.freebsd.org/mailman/listinfo/cvs-all To unsubscribe, send any mail to "cvs-all-unsubscribe@freebsd.org"