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
| Uploaded | Tue Apr 1 02:44:53 2025 |
| md5 checksum | ebf593f6e8db9ccfea67fe043b058b30 |
| build | py_0 |
| depends | libpysal, numpy, pandas, python >=3.5, scipy, seaborn, spreg |
| license | BSD-3-Clause |
| license_family | BSD |
| md5 | ebf593f6e8db9ccfea67fe043b058b30 |
| name | spvcm |
| noarch | python |
| sha1 | a11a27a9551d7236191c3d7628a7807632ce91e1 |
| sha256 | b65a32674dd61e622de16f128f62af4a7c2baeb45f9102d6937fb117f92cf58f |
| size | 4830371 |
| subdir | noarch |
| timestamp | 1582046086505 |
| version | 0.3.0 |