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  "Title": "Utilities for Geo-Spatial Cluster Detection and Significance\nClassification",
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  "Description": "Provides utilities for manipulating time series of\nlocation-based counts of events to detect geo-spatial clusters.\nSignificance of these clusters is determined using a set of\nmodels that classify based on a learned relationship between\nobserved and the log(observed/expected) ratio of counts. The\napproach implemented here is similar to prospective space-time\nestimation of clusters using the scan statistic.",
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  "Repository": "https://lmullany.r-universe.dev",
  "Date/Publication": "2026-10-29 19:04:46 UTC",
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  "Author": "Luke C. Mullany [aut, cre],\nHoward S. Burkom [aut]",
  "Maintainer": "Luke C. Mullany <luke.mullany@jhuapl.edu>",
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  "_exports": [
    "add_location_counts",
    "add_spline_threshold",
    "compress_clusters",
    "compress_clusters_fast",
    "county_distance_matrix",
    "create_custom_dist_list",
    "create_dist_list",
    "custom_distance_matrix",
    "find_clusters",
    "find_clusters_by_df",
    "gen_nearby_case_info",
    "generate_case_grids",
    "generate_heatmap",
    "generate_heatmap_data",
    "generate_observed_expected",
    "generate_summary_table",
    "generate_time_series_data",
    "generate_time_series_plot",
    "get_baseline_dates",
    "get_nearby_locations",
    "get_test_dates",
    "identify_states",
    "inject_counts",
    "map_clusters",
    "prepare_map_data",
    "reduce_clusters_to_min",
    "state_distance_matrix",
    "tract_distance_matrix",
    "tract_generator",
    "us_distance_matrix",
    "zip_distance_matrix"
  ],
  "_datasets": [
    {
      "name": "counties",
      "title": "County Location Dataset",
      "object": "counties",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "state_name",
        "state",
        "state_fips",
        "fips",
        "longitude",
        "latitude"
      ],
      "rows": 3144,
      "table": true,
      "tojson": true
    },
    {
      "name": "example_count_data",
      "title": "Example Count Dataset",
      "object": "example_count_data",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "location",
        "date",
        "count"
      ],
      "rows": 11264,
      "table": true,
      "tojson": true
    },
    {
      "name": "spline_001",
      "title": "Spline Lookup Table - 0.001",
      "object": "spline_001",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "observed",
        "spl_thresh"
      ],
      "rows": 399,
      "table": true,
      "tojson": true
    },
    {
      "name": "spline_005",
      "title": "Spline Lookup Table - 0.005",
      "object": "spline_005",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "observed",
        "spl_thresh"
      ],
      "rows": 399,
      "table": true,
      "tojson": true
    },
    {
      "name": "spline_01",
      "title": "Spline Lookup Table - 0.01",
      "object": "spline_01",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "observed",
        "spl_thresh"
      ],
      "rows": 399,
      "table": true,
      "tojson": true
    },
    {
      "name": "spline_05",
      "title": "Spline Lookup Table - 0.05",
      "object": "spline_05",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "observed",
        "spl_thresh"
      ],
      "rows": 399,
      "table": true,
      "tojson": true
    },
    {
      "name": "states",
      "title": "State Location Dataset",
      "object": "states",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "state_name",
        "state",
        "state_fips",
        "longitude",
        "latitude"
      ],
      "rows": 56,
      "table": true,
      "tojson": true
    },
    {
      "name": "zipcodes",
      "title": "Zipcode Location Dataset",
      "object": "zipcodes",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "id",
        "zip_code",
        "state",
        "state_name",
        "county",
        "region",
        "region_id",
        "region_name",
        "pop",
        "modified",
        "latitude",
        "longitude"
      ],
      "rows": 41684,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_location_counts",
      "title": "Add location counts to cluster location list",
      "topics": [
        "add_location_counts"
      ]
    },
    {
      "page": "add_spline_threshold",
      "title": "Use spline lookup to restrict `ObservedExpectedGrid` to potential clusters",
      "topics": [
        "add_spline_threshold"
      ]
    },
    {
      "page": "check_vars",
      "title": "check for variables in frame",
      "topics": [
        "check_vars"
      ]
    },
    {
      "page": "compress_clusters",
      "title": "Compress a cluster_alert_table",
      "topics": [
        "compress_clusters"
      ]
    },
    {
      "page": "compress_clusters_fast",
      "title": "Fast version of compress clusters",
      "topics": [
        "compress_clusters_fast"
      ]
    },
    {
      "page": "counties",
      "title": "County Location Dataset",
      "topics": [
        "counties"
      ]
    },
    {
      "page": "county_distance_matrix",
      "title": "Get distance matrix for counties within a state",
      "topics": [
        "county_distance_matrix"
      ]
    },
    {
      "page": "create_custom_dist_list",
      "title": "Create a sparse distance list from custom location data",
      "topics": [
        "create_custom_dist_list"
      ]
    },
    {
      "page": "create_dist_list",
      "title": "Generalized distance list as sparse list",
      "topics": [
        "create_dist_list"
      ]
    },
    {
      "page": "custom_distance_matrix",
      "title": "Build a Distance Matrix from a Custom Data Frame",
      "topics": [
        "custom_distance_matrix"
      ]
    },
    {
      "page": "example_count_data",
      "title": "Example Count Dataset",
      "topics": [
        "example_count_data"
      ]
    },
    {
      "page": "find_clusters",
      "title": "Find clusters",
      "topics": [
        "find_clusters"
      ]
    },
    {
      "page": "find_clusters_by_df",
      "title": "Wrapper: Find clusters by data frame only",
      "topics": [
        "find_clusters_by_df"
      ]
    },
    {
      "page": "gen_nearby_case_info",
      "title": "Return baseline and test period case grids restricting by distance",
      "topics": [
        "gen_nearby_case_info"
      ]
    },
    {
      "page": "generate_case_grids",
      "title": "Get test period and baseline period case counts",
      "topics": [
        "generate_case_grids"
      ]
    },
    {
      "page": "generate_heatmap",
      "title": "Generate heatmap of data",
      "topics": [
        "generate_heatmap"
      ]
    },
    {
      "page": "generate_heatmap_data",
      "title": "Get heat map data from a set of location, date, count data",
      "topics": [
        "generate_heatmap_data"
      ]
    },
    {
      "page": "generate_observed_expected",
      "title": "Generate the observed and expected information",
      "topics": [
        "generate_observed_expected"
      ]
    },
    {
      "page": "generate_summary_table",
      "title": "Summary count-by-location-and-date data, given baseline and test interval lengths, and an end-date for the test interval",
      "topics": [
        "generate_summary_table"
      ]
    },
    {
      "page": "generate_time_series_data",
      "title": "Generate time series data",
      "topics": [
        "generate_time_series_data"
      ]
    },
    {
      "page": "generate_time_series_plot",
      "title": "Generate timeseries plot data",
      "topics": [
        "generate_time_series_plot"
      ]
    },
    {
      "page": "get_baseline_dates",
      "title": "Generate baseline dates vector",
      "topics": [
        "get_baseline_dates"
      ]
    },
    {
      "page": "get_nearby_locations",
      "title": "Get nearby locations",
      "topics": [
        "get_nearby_locations"
      ]
    },
    {
      "page": "get_test_dates",
      "title": "Generate test dates vector",
      "topics": [
        "get_test_dates"
      ]
    },
    {
      "page": "identify_states",
      "title": "Identify states from location frame",
      "topics": [
        "identify_states"
      ]
    },
    {
      "page": "inject_counts",
      "title": "Add data counts for parameterized injected clusters",
      "topics": [
        "inject_counts"
      ]
    },
    {
      "page": "map_clusters",
      "title": "Map Clusters",
      "topics": [
        "map_clusters"
      ]
    },
    {
      "page": "prepare_map_data",
      "title": "Prepare cluster result and shape file for mapping",
      "topics": [
        "prepare_map_data"
      ]
    },
    {
      "page": "reduce_clusters_to_min",
      "title": "Filter clusters on minimum overall count",
      "topics": [
        "reduce_clusters_to_min"
      ]
    },
    {
      "page": "spline_001",
      "title": "Spline Lookup Table - 0.001",
      "topics": [
        "spline_001"
      ]
    },
    {
      "page": "spline_005",
      "title": "Spline Lookup Table - 0.005",
      "topics": [
        "spline_005"
      ]
    },
    {
      "page": "spline_01",
      "title": "Spline Lookup Table - 0.01",
      "topics": [
        "spline_01"
      ]
    },
    {
      "page": "spline_05",
      "title": "Spline Lookup Table - 0.05",
      "topics": [
        "spline_05"
      ]
    },
    {
      "page": "state_distance_matrix",
      "title": "Get distance matrix for states in the US",
      "topics": [
        "state_distance_matrix"
      ]
    },
    {
      "page": "states",
      "title": "State Location Dataset",
      "topics": [
        "states"
      ]
    },
    {
      "page": "tract_distance_matrix",
      "title": "Build a Tract Distance Matrix for a State",
      "topics": [
        "tract_distance_matrix"
      ]
    },
    {
      "page": "tract_generator",
      "title": "Generate Census Tract Centroids for a State",
      "topics": [
        "tract_generator"
      ]
    },
    {
      "page": "us_distance_matrix",
      "title": "Get distance matrix for all counties in the US",
      "topics": [
        "us_distance_matrix"
      ]
    },
    {
      "page": "zip_distance_matrix",
      "title": "Get distance matrix for zip codes within a state",
      "topics": [
        "zip_distance_matrix"
      ]
    },
    {
      "page": "zipcodes",
      "title": "Zipcode Location Dataset",
      "topics": [
        "zipcodes"
      ]
    }
  ],
  "_readme": "https://github.com/lmullany/gsclusterdetect/raw/HEAD/README.md",
  "_rundeps": [
    "class",
    "classInt",
    "cli",
    "data.table",
    "DBI",
    "e1071",
    "jsonlite",
    "KernSmooth",
    "proxy",
    "Rcpp",
    "s2",
    "sf",
    "units",
    "wk"
  ],
  "_vignettes": [
    {
      "source": "v01_basic_demo.Rmd",
      "filename": "v01_basic_demo.html",
      "title": "Vignette 1: Package Overview",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview: Package Purpose",
        "Package functionality",
        "Technical Requirements to Enable Cluster Detection in User Data",
        "Distance Structures for Geographic Scanning",
        "Full Distance Matrix Functions:",
        "Limited Distance Lists",
        "Main Wrapper: find_clusters()",
        "Preparing Inputs",
        "Key Parameters in find_clusters()",
        "Required:",
        "Optional:",
        "Running find_clusters()",
        "Built-In Spline Tables and Example Data",
        "Example Cluster Map",
        "Summary and Plotting Utilities"
      ],
      "created": "2026-08-06 16:40:57",
      "modified": "2026-08-06 16:40:57",
      "commits": 1
    },
    {
      "source": "v02_distance_objects.Rmd",
      "filename": "v02_distance_objects.html",
      "title": "Vignette 2: Creating Distance Objects",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Types of Distance Objects:",
        "Square pairwise distance matrices",
        "Example: county distance matrix:",
        "Example: zip code distance matrix:",
        "Example: tract distance matrix:",
        "Custom Distance Matrices",
        "Distance Lists",
        "Custom Distance Lists",
        "Other Functions"
      ],
      "created": "2026-08-06 16:40:57",
      "modified": "2026-08-06 16:40:57",
      "commits": 1
    },
    {
      "source": "v03_interim_objects.Rmd",
      "filename": "v03_interim_objects.html",
      "title": "Vignette 3: Accessing Interim Objects from Cluster Estimation",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Functions called by find_clusters()",
        "Example Usage:"
      ],
      "created": "2026-08-06 16:40:57",
      "modified": "2026-08-06 16:40:57",
      "commits": 1
    },
    {
      "source": "v04_artificial_cluster_injection.Rmd",
      "filename": "v04_artificial_cluster_injection.html",
      "title": "Vignette 4: Artificial Cluster Injection",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview: Creation of artificial target signals",
        "Available options for signal injections",
        "Generating Cluster Signals for Detection",
        "Example Cluster Signal Generation",
        "Example with multiple artificial signals"
      ],
      "created": "2026-08-06 16:40:57",
      "modified": "2026-08-06 16:40:57",
      "commits": 1
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