| Port details |
- py-spvcm Fit spatial multilevel models and diagnose convergence
- 0.3.0 math
 =0      0.3.0Version of this port present on the latest quarterly branch. - Maintainer: sunpoet@FreeBSD.org
- Port Added: 2021-01-03 20:25:21
- Last Update: 2021-04-06 14:31:07
- Commit Hash: 305f148
- 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 : git : Homepage
- pkg-plist: as obtained via:
make generate-plist - There is no configure plist information for this port.
- Dependency lines:
-
- ${PYTHON_PKGNAMEPREFIX}spvcm>0:math/py-spvcm@${PY_FLAVOR}
- To install the port: cd /usr/ports/math/py-spvcm/ && make install clean
- To add the package, run one of these commands:
- pkg install math/py-spvcm
- pkg install py38-spvcm
NOTE: This is a Python port. Instead of py38-spvcm listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py38-spvcm
- Package flavors (<flavor>: <package>)
- distinfo:
- TIMESTAMP = 1609598753
SHA256 (spvcm-0.3.0.tar.gz) = ce331bd5d6bcb64a07c4393093f3978763cfc8764ad0737e1866f3905e6cceae
SIZE (spvcm-0.3.0.tar.gz) = 5724408
- Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- py38-setuptools>0 : devel/py-setuptools@py38
- python3.8 : lang/python38
- Runtime dependencies:
-
- py38-libpysal>=0 : science/py-libpysal@py38
- py38-numpy>=0,1 : math/py-numpy@py38
- py38-pandas>=0,1 : math/py-pandas@py38
- py38-scipy>=0 : science/py-scipy@py38
- py38-seaborn>=0 : math/py-seaborn@py38
- py38-spreg>=0 : math/py-spreg@py38
- py38-setuptools>0 : devel/py-setuptools@py38
- python3.8 : lang/python38
- This port is required by:
- for Run
-
- science/py-pysal
- Configuration Options:
- No options to configure
- Options name:
- math_py-spvcm
- USES:
- python:3.7+
- FreshPorts was unable to extract/find any pkg message
- Master Sites:
|
Number of commits found: 3
| Commit History - (may be incomplete: see SVNWeb link above for full details) |
| Date | By | Description |
|---|
06 Apr 2021 14:31:07
  0.3.0
|
mat |
Remove # $FreeBSD$ from Makefiles. |
30 Jan 2021 13:29:58
  0.3.0
|
sunpoet |
Update USES=python: math/py-pandas 1.2.0 requires Python 3.7+
PR: 250103 |
03 Jan 2021 19:57:49
0.3.0 
|
sunpoet |
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 |
Number of commits found: 3
|
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