{"name":"py311-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":["py311-build","clang-18","py311-wheel","py311-setuptools","py311-installer"]},{"type":"lib","ports":["python311"]},{"type":"run","ports":["py311-spreg","py311-libpysal","py311-seaborn","py311-scipy","py311-pandas","py311-numpy"]}],"depends_on":[{"type":"lib","ports":["py311-pysal"]}]}