svn commit: r560049 - in head/math: . py-spvcm

[Sunpoet Po-Chuan Hsieh]

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 at FreeBSD.org>
+# $FreeBSD$
+
+PORTNAME=	spvcm
+PORTVERSION=	0.3.0
+CATEGORIES=	math python
+MASTER_SITES=	CHEESESHOP
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	sunpoet at 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