{ "_id": "6a1eb620b25058d4daaddf31", "Package": "RankAggregator", "Title": "Aggregation of (Partial) Ordinal Rankings", "Version": "0.0.1", "Authors@R": "c(\nperson(given = \"Jay\",\nfamily = \"Burns\",\nrole = c(\"aut\", \"cre\"),\nemail = \"jay.burns@sruc.ac.uk\"),\nperson(given = \"Adam\",\nfamily = \"Butler\",\nrole = c(\"aut\"),\nemail = \"adam.butler@bioss.ac.uk\")\n)", "Description": "Easily compute an aggregate ranking (also called a median\nranking or a consensus ranking) according to the axiomatic\napproach presented by Cook et al. (2007). This approach\nminimises the number of violations between all candidate\nconsensus rankings and all input (partial) rankings, and draws\non a branch and bound algorithm and a heuristic algorithm to\ndrastically improve speed. The package also provides an option\nto bootstrap a consensus ranking based on resampling input\nrankings (with replacement). Input rankings can be either\nincomplete (partial) or complete. Reference: Cook, W.D.,\nGolany, B., Penn, M. and Raviv, T. (2007)\n.", "License": "GPL-3", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.1.1", "Repository": "https://jburns88.r-universe.dev", "Date/Publication": "2020-09-11 15:52:46 UTC", "RemoteUrl": "https://github.com/jburns88/rankaggregator", "RemoteRef": "HEAD", "RemoteSha": "ece714503ae4d865e715743d0821be6dfe5452e4", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-02 10:41:53 UTC", "User": "root" }, "Author": "Jay Burns [aut, cre],\nAdam Butler [aut]", "Maintainer": "Jay Burns ", "MD5sum": "d6e88019a481e295e7a67fc0f610424d", "_user": "jburns88", "_type": "src", "_file": "RankAggregator_0.0.1.tar.gz", "_fileid": "c1c5302703e1178b353d6b9957470e2c2f51e6800176baa429ce28d78c818ec1", "_filesize": 127737, "_sha256": "c1c5302703e1178b353d6b9957470e2c2f51e6800176baa429ce28d78c818ec1", "_created": "2026-06-02T10:41:53.000Z", "_published": "2026-06-02T10:53:20.827Z", "_distro": "noble", "_jobs": [ { "job": 79052898248, "time": 98, "config": 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