py-spvcm Fit spatial multilevel models and diagnose convergence

0.3.0 math =0 Version of this port present on the latest quarterly branch.

Maintainer: sunpoet@FreeBSD.org

Port Added: 2021-01-03 20:25:21

Last Update: 2021-01-03 19:57:49

SVN Revision: 560049

Also Listed In: python

License: BSD3CLAUSE

Description:

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

SVNWeb : Homepage

There is no configure plist information for this port.

• ${PYTHON_PKGNAMEPREFIX}spvcm>0:math/py-spvcm@${PY_FLAVOR}

To install the port: cd /usr/ports/math/py-spvcm/ && make install clean

To add the package: pkg install py37-spvcm

PKGNAME: py37-spvcm

Package flavors (<flavor>: <package>)

• py37: py37-spvcm

distinfo:

TIMESTAMP = 1609598753 SHA256 (spvcm-0.3.0.tar.gz) = ce331bd5d6bcb64a07c4393093f3978763cfc8764ad0737e1866f3905e6cceae SIZE (spvcm-0.3.0.tar.gz) = 5724408

Dependencies

NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.

Build dependencies:

1. py37-setuptools>0 : devel/py-setuptools@py37
2. python3.7 : lang/python37

Runtime dependencies:

1. py37-libpysal>=0 : science/py-libpysal@py37
2. py37-numpy>=0,1 : math/py-numpy@py37
3. py37-pandas>=0,1 : math/py-pandas@py37
4. py37-scipy>=0 : science/py-scipy@py37
5. py37-seaborn>=0 : math/py-seaborn@py37
6. py37-spreg>=0 : math/py-spreg@py37
7. py37-setuptools>0 : devel/py-setuptools@py37
8. python3.7 : lang/python37

This port is required by:

for Run

1. science/py-pysal

Configuration Options

No options to configure

USES:

python:3.6+

Master Sites:

Expand this list (2 items)

Collapse this list.
1. https://files.pythonhosted.org/packages/source/s/spvcm/
2. https://pypi.org/packages/source/s/spvcm/
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• 2017-11-30

  Affects: */py*

  Author: mat@FreeBSD.org

  Reason: 
    Ports using Python via USES=python are now flavored.  All the py3-* ports
    have been removed and folded into their py-* master ports.
  
    People using Poudriere 3.2+ and binary packages do not have to do anything.
  
    For other people, to build the Python 3.6 version of, for example,
    databases/py-gdbm, you need to run:
  
      # make FLAVOR=py36 install
  
  

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

9 vulnerabilities affecting 70 ports have been reported in the past 14 days

^* - modified, not new

All vulnerabilities

Last updated:
2021-01-26 20:33:26