{"name":"py310-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":["py310-setuptools","clang-18","py310-installer","py310-build","py310-wheel"]},{"type":"lib","ports":["python310"]},{"type":"run","ports":["py310-spreg","py310-libpysal","py310-seaborn","py310-pandas","py310-scipy","py310-numpy"]}],"depends_on":[{"type":"lib","ports":["py310-pysal"]}]}