diff --git a/math/Makefile b/math/Makefile index 028fc950d04b..d26e59dd40c6 100644 --- a/math/Makefile +++ b/math/Makefile @@ -403,6 +403,7 @@ SUBDIR += py-numpy SUBDIR += py-plastex SUBDIR += py-probstat + SUBDIR += py-pymc SUBDIR += py-scientific SUBDIR += py-symeig SUBDIR += py-sympy diff --git a/math/py-pymc/Makefile b/math/py-pymc/Makefile new file mode 100644 index 000000000000..d6a0571cd8c7 --- /dev/null +++ b/math/py-pymc/Makefile @@ -0,0 +1,26 @@ +# New ports collection makefile for: py-pymc +# Date created: 2008-12-10 +# Whom: Wen Heping +# +# $FreeBSD$ +# + +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 diff --git a/math/py-pymc/distinfo b/math/py-pymc/distinfo new file mode 100644 index 000000000000..fb3d50705a48 --- /dev/null +++ b/math/py-pymc/distinfo @@ -0,0 +1,3 @@ +MD5 (pymc-2.0rc1.tar.gz) = b8e8bc8e72b23a0215d10e13839738d8 +SHA256 (pymc-2.0rc1.tar.gz) = fdb7b27c01509e2293d8905697feee3a157478393683eab3deb46a02f486f70a +SIZE (pymc-2.0rc1.tar.gz) = 978218 diff --git a/math/py-pymc/pkg-descr b/math/py-pymc/pkg-descr new file mode 100644 index 000000000000..3ac658827382 --- /dev/null +++ b/math/py-pymc/pkg-descr @@ -0,0 +1,11 @@ +Bayesian estimation, particularly using Markov chain Monte +Carlo (MCMC), is an increasingly relevant approach to +statistical estimation. 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