py310-spvcm (python/py-spvcm) Updated: 1 year, 5 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 | 232433 | 2023-08-18 3:49:27 | 0:07:31 | 75544 | build successful |
| 10.13 | 201896 | 2023-08-18 3:01:21 | 0:01:55 | 66390 | build successful |
| 10.15 | 152173 | 2023-08-18 2:52:35 | 0:01:47 | 46137 | build successful |
| 10.10 | 236040 | 2023-08-18 2:48:02 | 0:01:57 | 75432 | build successful |
| 13 | 44954 | 2023-08-18 2:38:44 | 0:01:50 | 10606 | build successful |
| 10.9 | 242526 | 2023-08-18 2:27:38 | 0:01:17 | 75121 | build successful |
| 10.8 | 144825 | 2023-08-18 2:18:53 | 0:01:53 | 45908 | build successful |
| 10.7 | 156422 | 2023-08-18 2:14:13 | 0:02:12 | 47848 | build successful |
| 10.6.x86_64 | 167239 | 2023-08-18 2:13:45 | 0:00:23 | 48107 | failed install-dependencies |
| 13.arm64 | 32073 | 2023-08-18 1:45:06 | 0:00:46 | 10463 | build successful |