py-spvcm (python/py-spvcm) Updated: 1 year, 2 months ago Add to my watchlist
Multilevel spatially-correlated variance components models (spvcm)The PySAL spvcm 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. For a complete overview, consult the walkthrough.
Version: 0.3.0 License: BSD
GitHub
10 build(s) found
| Builder | Build Number | Start Time | Elapsed Time | Watcher | Build Status |
|---|---|---|---|---|---|
| 10.11 | 232400 | 2023-08-18 2:27:36 | 0:07:20 | 75544 | build successful |
| 10.13 | 201863 | 2023-08-18 2:08:57 | 0:02:32 | 66390 | build successful |
| 10.15 | 152140 | 2023-08-18 2:02:37 | 0:02:09 | 46137 | build successful |
| 10.10 | 236007 | 2023-08-18 1:59:10 | 0:02:23 | 75432 | build successful |
| 13 | 44921 | 2023-08-18 1:54:41 | 0:01:40 | 10606 | build successful |
| 10.9 | 242493 | 2023-08-18 1:50:53 | 0:01:26 | 75121 | build successful |
| 10.6.x86_64 | 167206 | 2023-08-18 1:43:33 | 0:00:27 | 48107 | failed install-dependencies |
| 10.8 | 144792 | 2023-08-18 1:43:33 | 0:01:31 | 45908 | build successful |
| 10.7 | 156389 | 2023-08-18 1:41:32 | 0:01:54 | 47848 | build successful |
| 13.arm64 | 32040 | 2023-08-18 1:30:05 | 0:00:28 | 10463 | build successful |