8cdb0ad932
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>
26 lines
603 B
Makefile
26 lines
603 B
Makefile
# New ports collection makefile for: py-pymc
|
|
# Date created: 2008-12-10
|
|
# Whom: Wen Heping <wenheping@gmail.com>
|
|
#
|
|
# $FreeBSD$
|
|
#
|
|
|
|
PORTNAME= pymc
|
|
PORTVERSION= 2.0r1
|
|
CATEGORIES= math python
|
|
MASTER_SITES= CHEESESHOP
|
|
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
|
|
DISTNAME= ${PORTNAME}-2.0rc1
|
|
|
|
MAINTAINER= wenheping@gmail.com
|
|
COMMENT= Markov Chain Monte Carlo Sampling Toolkit
|
|
|
|
BUILD_DEPENDS= ${PYNUMPY}
|
|
RUN_DEPENDS= ${BUILD_DEPENDS}
|
|
#LIB_DEPENDS= lapack.4:${PORTSDIR}/math/lapack
|
|
|
|
USE_PYTHON= yes
|
|
USE_PYDISTUTILS= yes
|
|
PYDISTUTILS_EGGINFO= ${DISTNAME}-${PYTHON_VERSION:S/thon//}.egg-info
|
|
|
|
.include <bsd.port.mk>
|