{ "_id": "6a281e8ea476d7de6d3c7cc5", "Package": "gsClusterDetect", "Type": "Package", "Title": "Utilities for Geo-Spatial Cluster Detection and Significance\nClassification", "Version": "1.0.1", "Authors@R": "c(\nperson(\"Luke C.\", \"Mullany\", email = \"luke.mullany@jhuapl.edu\", role = c(\"aut\", \"cre\")),\nperson(\"Howard S.\", \"Burkom\", role = \"aut\")\n)", "Maintainer": "Luke C. Mullany, PhD ", "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.", "URL": "https://github.com/lmullany/gsClusterDetect,\nhttps://lmullany.github.io/gsClusterDetect/", "BugReports": "https://github.com/lmullany/gsClusterDetect/issues", "License": "Apache License (>= 2)", "Encoding": "UTF-8", "LazyData": "true", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.0.0", "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nlibssl-dev libproj-dev libsqlite3-dev libudunits2-dev", "Repository": "https://lmullany.r-universe.dev", "Date/Publication": "2026-06-09 12:36:53 UTC", "RemoteUrl": "https://github.com/lmullany/gsclusterdetect", "RemoteRef": "HEAD", "RemoteSha": "8a3d28c610e91a431ceda4796eb42cae837148dd", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-09 14:04:45 UTC", "User": "root" }, "Author": "Luke C. Mullany [aut, cre],\nHoward S. Burkom [aut]", "MD5sum": "4ac3ec17da802d48b9c64ed395bf6496", "_user": "lmullany", "_type": "src", "_file": "gsClusterDetect_1.0.1.tar.gz", "_fileid": "9aee2f025e2ff9bcf462a339e915b3496ec57f9e31a5116730ef2e4955937aba", "_filesize": 2753065, "_sha256": "9aee2f025e2ff9bcf462a339e915b3496ec57f9e31a5116730ef2e4955937aba", "_created": "2026-06-09T14:04:45.000Z", "_published": "2026-06-09T14:09:18.329Z", "_distro": "noble", "_jobs": [ { "job": 80342473849, "time": 202, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7510170830" }, { "job": 80342473943, "time": 202, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7510170996" }, { "job": 80342473668, "time": 219, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7510166345" }, { "job": 80342473665, "time": 225, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7510162065" }, { "job": 80341642528, "time": 217, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7510076110" }, { "job": 80342473725, "time": 151, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7510145861" }, { "job": 80342473816, "time": 183, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7510161397" }, { "job": 80342473735, "time": 157, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7510149373" }, { "job": 80342473703, "time": 150, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7510146336" } ], "_buildurl": "https://github.com/r-universe/lmullany/actions/runs/27211495402", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/lmullany/gsclusterdetect", "_commit": { "id": "8a3d28c610e91a431ceda4796eb42cae837148dd", "author": "Luke C Mullany <12236192+lmullany@users.noreply.github.com>", "committer": "GitHub ", "message": "Improve column names in find_clusters() output table\n\nUpdated output table from find_clusters() with clearer column names.", "time": 1781008613 }, "_maintainer": { "name": "Luke C. Mullany, PhD", "email": "luke.mullany@jhuapl.edu", "login": "lmullany", "description": "Public Health Scientist / Epidemiologist / Biostatistician", "uuid": 12236192 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.3", "role": "Depends" }, { "package": "cli", "role": "Imports" }, { "package": "data.table", "version": ">= 1.16.0", "role": "Imports" }, { "package": "sf", "role": "Imports" }, { "package": "ggplot2", "role": "Suggests" }, { "package": "plotly", "role": "Suggests" }, { "package": "tigris", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "withr", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "lmullany", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-26", "n": 2 }, { "week": "2025-32", "n": 1 }, { "week": "2025-41", "n": 5 }, { "week": "2025-42", "n": 1 }, { "week": "2026-05", "n": 1 }, { "week": 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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" ], 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"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": 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"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", "KernSmooth", "MASS", "proxy", "Rcpp", "s2", "sf", "units", "wk" ], "_vignettes": [ { "source": "basic_demo.Rmd", "filename": "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()", 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