py312-spvcm (python/py-spvcm) Updated: 10 months, 2 weeks 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
14 build(s) found
| Builder | Build Number | Start Time | Elapsed Time | Watcher | Build Status |
|---|---|---|---|---|---|
| 10.14 | 197812 | 2024-02-27 7:51:21 | 0:04:48 | 64597 | build successful |
| 10.11 | 253469 | 2024-02-27 7:51:10 | 0:07:06 | 83002 | build successful |
| 11 | 144729 | 2024-02-27 7:46:21 | 0:02:49 | 43515 | build successful |
| 10.15 | 173828 | 2024-02-27 7:34:55 | 0:06:24 | 53587 | build successful |
| 10.13 | 222917 | 2024-02-27 7:33:08 | 0:01:33 | 73846 | build successful |
| 10.12 | 262638 | 2024-02-27 7:32:16 | 0:01:32 | 81788 | build successful |
| 12 | 98788 | 2024-02-27 7:27:47 | 0:01:46 | 32327 | build successful |
| 10.6 | 155409 | 2024-02-27 7:27:25 | 0:00:55 | 55530 | failed install-dependencies |
| 10.6.x86_64 | 191029 | 2024-02-27 7:27:12 | 0:00:30 | 55575 | failed install-dependencies |
| 10.8 | 166900 | 2024-02-27 7:17:48 | 0:00:25 | 53370 | failed install-dependencies |
| 10.7 | 179519 | 2024-02-27 7:16:02 | 0:00:25 | 55310 | failed install-dependencies |
| 13.arm64 | 51523 | 2024-02-27 7:15:42 | 0:01:06 | 17945 | build successful |
| 10.9 | 265432 | 2024-02-27 7:15:17 | 0:00:29 | 82577 | failed install-dependencies |
| 10.10 | 258452 | 2024-02-27 7:14:00 | 0:00:29 | 82894 | failed install-dependencies |