Date: Sun, 3 Jan 2021 19:57:49 +0000 (UTC) From: Sunpoet Po-Chuan Hsieh <sunpoet@FreeBSD.org> To: ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org Subject: svn commit: r560049 - in head/math: . py-spvcm Message-ID: <202101031957.103JvnEm087188@repo.freebsd.org>
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Author: sunpoet Date: Sun Jan 3 19:57:48 2021 New Revision: 560049 URL: https://svnweb.freebsd.org/changeset/ports/560049 Log: Add py-spvcm 0.3.0 Gibbs sampling for spatially-correlated variance-components This is a package to estimate spatially-correlated variance components models/varying intercept models. In addition to a general toolkit to conduct Gibbs sampling in Python, the package also provides an interface to PyMC3 and CODA. WWW: https://github.com/pysal/spvcm Added: head/math/py-spvcm/ head/math/py-spvcm/Makefile (contents, props changed) head/math/py-spvcm/distinfo (contents, props changed) head/math/py-spvcm/pkg-descr (contents, props changed) Modified: head/math/Makefile Modified: head/math/Makefile ============================================================================== --- head/math/Makefile Sun Jan 3 19:57:43 2021 (r560048) +++ head/math/Makefile Sun Jan 3 19:57:48 2021 (r560049) @@ -848,6 +848,7 @@ SUBDIR += py-splot SUBDIR += py-spot SUBDIR += py-spreg + SUBDIR += py-spvcm SUBDIR += py-ssm SUBDIR += py-statsmodels SUBDIR += py-statsmodels010 Added: head/math/py-spvcm/Makefile ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/math/py-spvcm/Makefile Sun Jan 3 19:57:48 2021 (r560049) @@ -0,0 +1,27 @@ +# Created by: Po-Chuan Hsieh <sunpoet@FreeBSD.org> +# $FreeBSD$ + +PORTNAME= spvcm +PORTVERSION= 0.3.0 +CATEGORIES= math python +MASTER_SITES= CHEESESHOP +PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} + +MAINTAINER= sunpoet@FreeBSD.org +COMMENT= Fit spatial multilevel models and diagnose convergence + +LICENSE= BSD3CLAUSE + +RUN_DEPENDS= ${PYTHON_PKGNAMEPREFIX}libpysal>=0:science/py-libpysal@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}numpy>=0,1:math/py-numpy@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}pandas>=0,1:math/py-pandas@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}scipy>=0:science/py-scipy@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}seaborn>=0:math/py-seaborn@${PY_FLAVOR} \ + ${PYTHON_PKGNAMEPREFIX}spreg>=0:math/py-spreg@${PY_FLAVOR} + +USES= python:3.6+ +USE_PYTHON= autoplist concurrent distutils + +NO_ARCH= yes + +.include <bsd.port.mk> Added: head/math/py-spvcm/distinfo ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/math/py-spvcm/distinfo Sun Jan 3 19:57:48 2021 (r560049) @@ -0,0 +1,3 @@ +TIMESTAMP = 1609598753 +SHA256 (spvcm-0.3.0.tar.gz) = ce331bd5d6bcb64a07c4393093f3978763cfc8764ad0737e1866f3905e6cceae +SIZE (spvcm-0.3.0.tar.gz) = 5724408 Added: head/math/py-spvcm/pkg-descr ============================================================================== --- /dev/null 00:00:00 1970 (empty, because file is newly added) +++ head/math/py-spvcm/pkg-descr Sun Jan 3 19:57:48 2021 (r560049) @@ -0,0 +1,8 @@ +Gibbs sampling for spatially-correlated variance-components + +This is a package to estimate spatially-correlated variance components +models/varying intercept models. In addition to a general toolkit to conduct +Gibbs sampling in Python, the package also provides an interface to PyMC3 and +CODA. + +WWW: https://github.com/pysal/spvcm
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