{ "_id": "6a0f60f7acfb0bcc41c5bc9a", "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. 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