Port Api Instance

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{
    "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-16",
                "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"
            ]
        }
    ]
}