py311-spvcm (python/py-spvcm) Updated: 1 year, 3 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 | 232387 | 2023-08-18 1:43:33 | 0:07:36 | 75544 | build successful |
| 10.13 | 201850 | 2023-08-18 1:42:12 | 0:01:34 | 66390 | build successful |
| 10.15 | 152127 | 2023-08-18 1:39:08 | 0:02:04 | 46137 | build successful |
| 10.10 | 235994 | 2023-08-18 1:38:09 | 0:01:40 | 75432 | build successful |
| 10.8 | 144779 | 2023-08-18 1:37:08 | 0:01:31 | 45908 | build successful |
| 13 | 44908 | 2023-08-18 1:35:43 | 0:01:48 | 10606 | build successful |
| 10.7 | 156376 | 2023-08-18 1:35:24 | 0:01:47 | 47848 | build successful |
| 10.9 | 242480 | 2023-08-18 1:34:03 | 0:01:26 | 75121 | build successful |
| 10.6.x86_64 | 167193 | 2023-08-18 1:33:35 | 0:00:23 | 48107 | failed install-dependencies |
| 13.arm64 | 32027 | 2023-08-18 1:23:50 | 0:00:56 | 10463 | build successful |