{"name":"py313-spvcm","portdir":"python/py-spvcm","version":"0.3.0","license":"BSD","platforms":"{darwin any}","epoch":0,"replaced_by":null,"homepage":"https://github.com/pysal/spvcm","description":"Multilevel spatially-correlated variance components models (spvcm)","long_description":"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.","active":true,"categories":["python","gis"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["clang-18","py313-wheel","py313-setuptools","py313-installer","py313-build"]},{"type":"lib","ports":["python313"]},{"type":"run","ports":["py313-spreg","py313-libpysal","py313-seaborn","py313-pandas","py313-scipy","py313-numpy"]}],"depends_on":[{"type":"lib","ports":["py-spvcm","py313-pysal"]}]}