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  "Title": "Sparse-Smooth Spatially Varying Coefficient Quantile Regression",
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  "Maintainer": "Houjian Hou <beidaihe77@qq.com>",
  "Description": "Implements sparse-smooth spatially varying coefficient\nquantile regression (SS-SVCQR), combining quantile regression\nof Koenker and Bassett (1978) <doi:10.2307/1913643>, grouped\nvariable selection of Yuan and Lin (2006)\n<doi:10.1111/j.1467-9868.2005.00532.x>, graph regularization,\nand the alternating direction method of multipliers of Boyd et\nal. (2011) <doi:10.1561/2200000016>. The package provides\ngraph-regularized estimation, spatially blocked\ncross-validation, prediction, diagnostics, and simulation\nhelpers for global-local spatial quantile regression.",
  "License": "GPL (>= 3)",
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      "title": "Sparse-Smooth Spatially Varying Coefficient Quantile Regression",
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        "sssvcqr-package",
        "sssvcqr"
      ]
    },
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      "page": "build_graph_laplacian",
      "title": "Build a weighted k-nearest-neighbor graph Laplacian",
      "topics": [
        "build_graph_laplacian"
      ]
    },
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      "page": "cv_ss_svcqr",
      "title": "Spatially blocked cross-validation for SS-SVCQR",
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      "title": "KKT diagnostics for an SS-SVCQR fit",
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    },
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    },
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      "title": "Simulate data for SS-SVCQR examples",
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    {
      "page": "ss_svcqr",
      "title": "Fit sparse-smooth spatially varying coefficient quantile regression",
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