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  "Package": "RankAggSIgFUR",
  "Title": "Polynomially Bounded Rank Aggregation under Kemeny's Axiomatic\nApproach",
  "Version": "1.0.0",
  "Authors@R": "c(\nperson(\"Hannah\", \"Parker\", email = \"parkerhannah09@gmail.com\", role = \"aut\"),\nperson(\"Rakhi\", \"Singh\", email = \"agrakhi@gmail.com\", role = c(\"cre\", \"aut\"), comment = c(ORCID = \"0000-0003-3469-295X\")),\nperson(\"Prakash Singh\", \"Badal\", email= \"aprakashn@gmail.com\", role = \"aut\", comment = c(ORCID = \"0000-0003-4097-8444\")))",
  "Description": "Polynomially bounded algorithms to aggregate complete\nrankings under Kemeny's axiomatic framework. 'RankAggSIgFUR'\n(pronounced as rank-agg-cipher) contains two heuristics\nalgorithms: FUR and SIgFUR. For details, please see Badal and\nDas (2018) <doi:10.1016/j.cor.2018.06.007>.",
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    "message": "updating to stable CRAN version 1.0.0 (#4)\n\nstable version with weights. \r\n\r\nadded a wrapper function that could take a score matrix and convert it to rank matrix while reducing the number of judges (super helpful when k >> n!), see examples for prepare_data.R\r\n\r\n* Delete addfiles directory\r\n\r\n* Update NEWS.md\r\n\r\n---------\r\n\r\nCo-authored-by: Prakash S Badal <prakashvs613@yahoo.co.in>",
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        "data.frame"
      ],
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        "Ranking 2",
        "Ranking 3",
        "Ranking 4",
        "Ranking 5",
        "Ranking 6",
        "Ranking 7",
        "Ranking 8",
        "Ranking 9",
        "Ranking 10",
        "Ranking 11",
        "Ranking 12",
        "Ranking 13",
        "Ranking 14",
        "Ranking 15"
      ],
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        "tbl",
        "data.frame"
      ],
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        "Object",
        "Ranking 1",
        "Ranking 2",
        "Ranking 3",
        "Ranking 4"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "data400x15",
      "title": "Simulated 400 X 15 Data",
      "object": "data400x15",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Objects",
        "Ranking 1",
        "Ranking 2",
        "Ranking 3",
        "Ranking 4",
        "Ranking 5",
        "Ranking 6",
        "Ranking 7",
        "Ranking 8",
        "Ranking 9",
        "Ranking 10",
        "Ranking 11",
        "Ranking 12",
        "Ranking 13",
        "Ranking 14",
        "Ranking 15"
      ],
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      "tojson": true
    },
    {
      "name": "data50x15",
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      "class": [
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        "tbl",
        "data.frame"
      ],
      "fields": [
        "Object",
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        "Ranking 2",
        "Ranking 3",
        "Ranking 4",
        "Ranking 5",
        "Ranking 6",
        "Ranking 7",
        "Ranking 8",
        "Ranking 9",
        "Ranking 10",
        "Ranking 11",
        "Ranking 12",
        "Ranking 13",
        "Ranking 14",
        "Ranking 15"
      ],
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      "tojson": true
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    {
      "page": "data100x15",
      "title": "Simulated 100 X 15 Data",
      "topics": [
        "data100x15"
      ]
    },
    {
      "page": "data240x4",
      "title": "PrefLib 240 X 4 Data",
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    {
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    {
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        "data50x15"
      ]
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    {
      "page": "fur",
      "title": "FUR",
      "topics": [
        "fur"
      ]
    },
    {
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      "topics": [
        "mean_seed"
      ]
    },
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      "title": "Modified Kemeny Rank Aggregation",
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      ]
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      ]
    },
    {
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