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  "Title": "Statistical Methods for Regional Counts",
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  "Maintainer": "Joshua French <joshua.french@ucdenver.edu>",
  "BugReports": "https://github.com/jfrench/smerc/issues",
  "Description": "Implements statistical methods for analyzing the counts of\nareal data, with a focus on the detection of spatial clusters\nand clustering.  The package has a heavy emphasis on spatial\nscan methods, which were first introduced by Kulldorff and\nNagarwalla (1995) <doi:10.1002/sim.4780140809> and Kulldorff\n(1997) <doi:10.1080/03610929708831995>.",
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  "Repository": "https://jfrench.r-universe.dev",
  "Date/Publication": "2026-08-04 17:25:54 UTC",
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    "message": "Fix test bug in test-precog\n\nBug related to update in RNGkind for binomial distribution in version 4.7 of R.\n",
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    },
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    },
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    },
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      "version": "0.4.5",
      "date": "2018-04-19"
    },
    {
      "version": "1.0",
      "date": "2019-07-14"
    },
    {
      "version": "1.0.1",
      "date": "2019-07-15"
    },
    {
      "version": "1.1",
      "date": "2019-09-19"
    },
    {
      "version": "1.2",
      "date": "2020-05-26"
    },
    {
      "version": "1.3",
      "date": "2020-10-07"
    },
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      "date": "2020-11-14"
    },
    {
      "version": "1.3.4",
      "date": "2021-01-16"
    },
    {
      "version": "1.4",
      "date": "2021-02-06"
    },
    {
      "version": "1.4.2",
      "date": "2021-02-13"
    },
    {
      "version": "1.5",
      "date": "2021-10-01"
    },
    {
      "version": "1.5.2",
      "date": "2021-11-23"
    },
    {
      "version": "1.6",
      "date": "2022-01-31"
    },
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      "date": "2022-10-13"
    },
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      "version": "1.8.2",
      "date": "2023-07-15"
    },
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      "version": "1.8.3",
      "date": "2023-10-10"
    },
    {
      "version": "1.8.4",
      "date": "2024-10-24"
    },
    {
      "version": "1.8.6",
      "date": "2026-08-20"
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    "all_shape_dists",
    "arg_check_dist_ellipse",
    "bn.test",
    "bn.zones",
    "casewin",
    "cepp.sim",
    "cepp.test",
    "cepp.weights",
    "clusters",
    "color.clusters",
    "combine.zones",
    "csg2",
    "dc.sim",
    "dc.test",
    "dc.zones",
    "dist.ellipse",
    "distinct",
    "dmst.sim",
    "dmst.test",
    "dmst.zones",
    "dweights",
    "edmst.sim",
    "edmst.test",
    "edmst.zones",
    "elbow_point",
    "elliptic.nn",
    "elliptic.penalty",
    "elliptic.sim",
    "elliptic.sim.adj",
    "elliptic.test",
    "elliptic.zones",
    "eucdist",
    "fast.sim",
    "fast.test",
    "fast.zones",
    "flex_test",
    "flex_zones",
    "flex.sim",
    "flex.test",
    "flex.zones",
    "gcdist",
    "gedist",
    "knn",
    "lcsg2",
    "lget",
    "lgetElement",
    "logical2zones",
    "mc.pvalue",
    "mlf.test",
    "mlf.zones",
    "mlink.sim",
    "mlink.test",
    "mlink.zones",
    "morancr.sim",
    "morancr.stat",
    "morancr.test",
    "mst.all",
    "mst.seq",
    "nclusters",
    "nn.cumsum",
    "nn2zones",
    "nndist",
    "nndup",
    "nnpop",
    "noc_enn",
    "noc_nn",
    "noz",
    "optimal_ubpop",
    "precog.sim",
    "precog.test",
    "prep.mst",
    "rflex_zones",
    "rflex.midp",
    "rflex.sim",
    "rflex.test",
    "rflex.zones",
    "scan_stat",
    "scan.nn",
    "scan.sim",
    "scan.sim.adj",
    "scan.stat",
    "scan.test",
    "scan.zones",
    "scsg2",
    "seq_scan_sim",
    "seq_scan_test",
    "sget",
    "sgetElement",
    "sig_noc",
    "sig_prune",
    "smerc_cluster",
    "stat_binom",
    "stat_binom_adj",
    "stat_poisson",
    "stat_poisson_adj",
    "stat.binom",
    "stat.poisson",
    "stat.poisson.adj",
    "tango.stat",
    "tango.test",
    "tango.weights",
    "uls.sim",
    "uls.test",
    "uls.zones",
    "w2segments",
    "zones.sum"
  ],
  "_datasets": [
    {
      "name": "neast",
      "title": "Breast cancer mortality in the Northeastern United States",
      "object": "neast",
      "file": "neast.rda",
      "class": [
        "sf",
        "data.frame"
      ],
      "fields": [
        "id",
        "cases",
        "population",
        "x",
        "y",
        "geometry"
      ],
      "rows": 245,
      "table": false,
      "tojson": true
    },
    {
      "name": "neastw",
      "title": "Binary adjacency matrix for 'neast'",
      "object": "neastw",
      "file": "neastw.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [],
      "rows": 245,
      "table": true,
      "tojson": true
    },
    {
      "name": "nydf",
      "title": "Leukemia data for 281 regions in New York.",
      "object": "nydf",
      "file": "nydf.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "longitude",
        "latitude",
        "population",
        "cases",
        "x",
        "y"
      ],
      "rows": 281,
      "table": true,
      "tojson": true
    },
    {
      "name": "nypoly",
      "title": "'SpatialPolygons' object for New York leukemia data.",
      "object": "nypoly",
      "file": "nypoly.rda",
      "class": [
        "SpatialPolygons"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "nysf",
      "title": "'sf' object for New York leukemia data.",
      "object": "nysf",
      "file": "nysf.rda",
      "class": [
        "sf",
        "data.frame"
      ],
      "fields": [
        "areaname",
        "areakey",
        "xorig",
        "yorig",
        "pop8",
        "tractcas",
        "propcas",
        "pctownhome",
        "pctage65p",
        "z",
        "avgidist",
        "pexposure",
        "cases",
        "xm",
        "ym",
        "x",
        "y",
        "geometry"
      ],
      "rows": 281,
      "table": false,
      "tojson": true
    },
    {
      "name": "nysp",
      "title": "'SpatialPolygonsDataFrame' for New York leukemia data.",
      "object": "nysp",
      "file": "nysp.rda",
      "class": [
        "SpatialPolygonsDataFrame"
      ],
      "fields": [],
      "table": false,
      "tojson": false
    },
    {
      "name": "nyw",
      "title": "Adjacency matrix for New York leukemia data.",
      "object": "nyw",
      "file": "nyw.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [],
      "rows": 281,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bn.test",
      "title": "Besag-Newell Test",
      "topics": [
        "bn.test"
      ]
    },
    {
      "page": "bn.zones",
      "title": "Determine case windows (circles)",
      "topics": [
        "bn.zones",
        "casewin"
      ]
    },
    {
      "page": "cepp.sim",
      "title": "Perform 'cepp.test' on simulated data",
      "topics": [
        "cepp.sim"
      ]
    },
    {
      "page": "cepp.test",
      "title": "Cluster Evalation Permutation Procedure Test",
      "topics": [
        "cepp.test"
      ]
    },
    {
      "page": "cepp.weights",
      "title": "Compute region weights for 'cepp.test'",
      "topics": [
        "cepp.weights"
      ]
    },
    {
      "page": "clusters",
      "title": "Extract clusters",
      "topics": [
        "clusters"
      ]
    },
    {
      "page": "color.clusters",
      "title": "Color clusters",
      "topics": [
        "color.clusters"
      ]
    },
    {
      "page": "combine.zones",
      "title": "Combine distinct zones",
      "topics": [
        "combine.zones"
      ]
    },
    {
      "page": "csg",
      "title": "Construct connected subgraphs",
      "topics": [
        "csg2",
        "lcsg2",
        "scsg2"
      ]
    },
    {
      "page": "dc.sim",
      "title": "Perform 'dc.test' on simulated data",
      "topics": [
        "dc.sim"
      ]
    },
    {
      "page": "dc.test",
      "title": "Double Connection spatial scan test",
      "topics": [
        "dc.test"
      ]
    },
    {
      "page": "dc.zones",
      "title": "Determine zones for the Double Connected scan test",
      "topics": [
        "dc.zones"
      ]
    },
    {
      "page": "dist.ellipse",
      "title": "Compute minor axis distance of ellipse",
      "topics": [
        "dist.ellipse"
      ]
    },
    {
      "page": "distinct",
      "title": "Distinct elements of a list",
      "topics": [
        "distinct"
      ]
    },
    {
      "page": "dmst.sim",
      "title": "Perform 'dmst.test' on simulated data",
      "topics": [
        "dmst.sim"
      ]
    },
    {
      "page": "dmst.test",
      "title": "Dynamic Minimum Spanning Tree spatial scan test",
      "topics": [
        "dmst.test"
      ]
    },
    {
      "page": "dmst.zones",
      "title": "Determine zones for the Dynamic Minimum Spanning Tree scan test",
      "topics": [
        "dmst.zones"
      ]
    },
    {
      "page": "edmst.sim",
      "title": "Perform 'edmst.test' on simulated data",
      "topics": [
        "edmst.sim"
      ]
    },
    {
      "page": "edmst.test",
      "title": "Early Stopping Dynamic Minimum Spanning Tree spatial scan test",
      "topics": [
        "edmst.test"
      ]
    },
    {
      "page": "edmst.zones",
      "title": "Determine zones for the early stopping dynamic Minimum Spanning Tree scan test",
      "topics": [
        "edmst.zones"
      ]
    },
    {
      "page": "elbow_point",
      "title": "Compute Elbow Point",
      "topics": [
        "elbow_point"
      ]
    },
    {
      "page": "elliptic.nn",
      "title": "Nearest neighbors for elliptic scan",
      "topics": [
        "elliptic.nn"
      ]
    },
    {
      "page": "elliptic.penalty",
      "title": "Compute elliptic penalty",
      "topics": [
        "elliptic.penalty"
      ]
    },
    {
      "page": "elliptic.sim.adj",
      "title": "Perform 'elliptic.test' on simulated data",
      "topics": [
        "elliptic.sim.adj"
      ]
    },
    {
      "page": "elliptic.test",
      "title": "Elliptical Spatial Scan Test",
      "topics": [
        "elliptic.test"
      ]
    },
    {
      "page": "elliptic.zones",
      "title": "Determine zones for 'elliptic.test'",
      "topics": [
        "elliptic.zones"
      ]
    },
    {
      "page": "fast.sim",
      "title": "Perform 'fast.test' on simulated data",
      "topics": [
        "fast.sim"
      ]
    },
    {
      "page": "fast.test",
      "title": "Fast Subset Scan Test",
      "topics": [
        "fast.test"
      ]
    },
    {
      "page": "fast.zones",
      "title": "Determine sequence of fast subset scan zones",
      "topics": [
        "fast.zones"
      ]
    },
    {
      "page": "flex_test",
      "title": "Flexibly-shaped Spatial Scan Test",
      "topics": [
        "flex_test"
      ]
    },
    {
      "page": "flex_zones",
      "title": "Determine zones for flexibly shaped spatial scan test",
      "topics": [
        "flex_zones"
      ]
    },
    {
      "page": "flex.sim",
      "title": "Perform 'flex.test' on simualated data",
      "topics": [
        "flex.sim"
      ]
    },
    {
      "page": "flex.test",
      "title": "Flexibly-shaped Spatial Scan Test",
      "topics": [
        "flex.test"
      ]
    },
    {
      "page": "flex.zones",
      "title": "Determine zones for flexibly shaped spatial scan test",
      "topics": [
        "flex.zones"
      ]
    },
    {
      "page": "gedist",
      "title": "Compute distance for geographic coordinates",
      "topics": [
        "eucdist",
        "gcdist",
        "gedist"
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