{"name":"py39-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":false,"categories":["python","gis"],"maintainers":[],"variants":[],"dependencies":[{"type":"build","ports":["py39-setuptools","clang-17","py39-installer","py39-build","py39-wheel"]},{"type":"lib","ports":["python39"]},{"type":"run","ports":["py39-spreg","py39-seaborn","py39-scipy","py39-pandas","py39-numpy","py39-libpysal"]}],"depends_on":[{"type":"lib","ports":["py39-pysal"]}]}