{ "_id": "6a102ddbacfb0bcc41c94002", "Package": "mederrRank", "Title": "Bayesian Methods for Identifying the Most Harmful Medication\nErrors", "Version": "0.1.0", "Date": "2023-09-05", "Description": "Two distinct but related statistical approaches to the\nproblem of identifying the combinations of medication error\ncharacteristics that are more likely to result in harm are\nimplemented in this package: 1) a Bayesian hierarchical model\nwith optimal Bayesian ranking on the log odds of harm, and 2)\nan empirical Bayes model that estimates the ratio of the\nobserved count of harm to the count that would be expected if\nerror characteristics and harm were independent. In addition,\nfor the Bayesian hierarchical model, the package provides\nfunctions to assess the sensitivity of results to different\nspecifications of the random effects distributions.", "Author": "Sergio Venturini, Jessica Myers", "Maintainer": "Sergio Venturini ", "License": "GPL (>= 2) | file LICENSE", "LazyLoad": "yes", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-13 05:35:06 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2023-09-05 17:31:09 UTC", "RemoteUrl": "https://github.com/cran/mederrRank", "RemoteRef": "HEAD", "RemoteSha": "56bcfa086a1ae27ee818c296ea7eb87cbbe793fc", "MD5sum": "fcd777111ea8fe351d3dca6ec3331ae0", "_user": "cran", "_type": "src", "_file": "mederrRank_0.1.0.tar.gz", "_fileid": "66bbfe3c288f3076f08605fc201b3a9d3aa82d6234a0bf39fa5fe00a68c0cd22", "_filesize": 326831, "_sha256": "66bbfe3c288f3076f08605fc201b3a9d3aa82d6234a0bf39fa5fe00a68c0cd22", "_created": "2026-05-13T05:35:06.000Z", "_published": 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