{ "_id": "6a1abfe71d7bb097a09d672b", "Package": "treeSS", "Type": "Package", "Title": "Tree-Spatial Scan Statistic for Cluster Detection", "Version": "0.1.50", "Authors@R": "c(\nperson(\"Allan\", \"Quadros\", email = \"allanvcq@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-3250-5380\")),\nperson(\"Andre L. F.\", \"Cançado\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-7019-8521\")),\nperson(\"Geiziane S.\", \"Oliveira\", role = \"aut\"),\nperson(\"Luiz H.\", \"Duczmal\", role = \"aut\")\n)", "Description": "Implements the tree-spatial scan statistic for detecting\nclusters that combine both spatial and hierarchical structures,\nas proposed by Cancado et al. (2025)\n. The method extends Kulldorff\n(1997) circular spatial scan\nstatistic and the tree-based scan statistic of Kulldorff et al.\n(2003) by searching for anomalies\nin both geographic regions and branches of hierarchical trees\nsimultaneously. The package also provides standalone\nimplementations of Kulldorff's circular spatial scan statistic\nand the tree-based scan statistic. Statistical significance is\nassessed via Monte Carlo simulation under a Poisson or binomial\nmodel, with optional 'OpenMP' parallelization.", "License": "GPL (>= 3)", "URL": "https://github.com/allanvc/treeSS", "BugReports": "https://github.com/allanvc/treeSS/issues", "SystemRequirements": "GNU make", "Encoding": "UTF-8", "LazyData": "true", "LazyDataCompression": "xz", "VignetteBuilder": "knitr", "RoxygenNote": "7.3.2", "Config/testthat/edition": "3", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-30 09:42:42 UTC", "User": "root" }, "Author": "Allan Quadros [aut, cre] (ORCID:\n), Andre L. F. Cançado\n[aut] (ORCID: ),\nGeiziane S. Oliveira [aut], Luiz H. 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