{ "_id": "6a0f6224acfb0bcc41c5c1f0", "Package": "openEBGM", "Title": "EBGM Disproportionality Scores for Adverse Event Data Mining", "Version": "0.9.1", "Authors@R": "c(\nperson(\"John\", \"Ihrie\", email = \"John.Ihrie@fda.hhs.gov\",\nrole = c(\"cre\", \"aut\")),\nperson(\"Travis\", \"Canida\", email = \"Travis.Canida@fda.hhs.gov\", role = \"aut\"),\nperson(\"Ismaïl\", \"Ahmed\", role = \"ctb\",\ncomment = \"author of 'PhViD' package (derived code)\"),\nperson(\"Antoine\", \"Poncet\", role = \"ctb\",\ncomment = \"author of 'PhViD'\"),\nperson(\"Sergio\", \"Venturini\", role = \"ctb\",\ncomment = \"author of 'mederrRank' package (derived code)\"),\nperson(\"Jessica\", \"Myers\", role = \"ctb\",\ncomment = \"author of 'mederrRank'\"))", "Maintainer": "John Ihrie ", "Description": "An implementation of DuMouchel's (1999)\n Bayesian data mining\nmethod for the market basket problem. Calculates Empirical\nBayes Geometric Mean (EBGM) and posterior quantile scores using\nthe Gamma-Poisson Shrinker (GPS) model to find unusually large\ncell counts in large, sparse contingency tables. Can be used to\nfind unusually high reporting rates of adverse events\nassociated with products. In general, can be used to mine any\ndatabase where the co-occurrence of two variables or items is\nof interest. Also calculates relative and proportional\nreporting ratios. Builds on the work of the 'PhViD' package,\nfrom which much of the code is derived. Some of the added\nfeatures include stratification to adjust for confounding\nvariables and data squashing to improve computational\nefficiency. Includes an implementation of the EM algorithm for\nhyperparameter estimation loosely derived from the 'mederrRank'\npackage.", "License": "GPL-2 | GPL-3", "URL": "https://journal.r-project.org/archive/2017/RJ-2017-063/index.html", "LazyData": "TRUE", "RoxygenNote": "7.2.3", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-21 10:43:49 UTC", "User": "root" }, "Author": "John Ihrie [cre, aut], Travis Canida [aut], Ismaïl Ahmed [ctb]\n(author of 'PhViD' package (derived code)), Antoine Poncet\n[ctb] (author of 'PhViD'), Sergio Venturini [ctb] (author of\n'mederrRank' package (derived code)), Jessica Myers [ctb]\n(author of 'mederrRank')", "Repository": "https://johnihrie.r-universe.dev", "Date/Publication": "2023-09-15 01:30:34 UTC", "RemoteUrl": "https://github.com/cran/openEBGM", "RemoteRef": "HEAD", "RemoteSha": "6e6885cc875a4b3bd653b73cdbcff1ee74bbe0ca", "MD5sum": "df323e54e205003778b4254eb4017d73", "_user": "johnihrie", 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