{
  "_id": "6a1f2becb401979e73425913",
  "Package": "partitionComparison",
  "Type": "Package",
  "Title": "Implements Measures for the Comparison of Two Partitions",
  "Version": "0.2.6",
  "Date": "2023-08-23",
  "Author": "Fabian Ball [aut, cre, cph, ctb], Andreas Geyer-Schulz [cph]",
  "Maintainer": "Fabian Ball <mail@fabian-ball.de>",
  "Description": "Provides several measures ((dis)similarity,\ndistance/metric, correlation, entropy) for comparing two\npartitions of the same set of objects. The different measures\ncan be assigned to three different classes: Pair comparison\n(containing the famous Jaccard and Rand indices), set based,\nand information theory based. Many of the implemented measures\ncan be found in Albatineh AN, Niewiadomska-Bugaj M and Mihalko\nD (2006) <doi:10.1007/s00357-006-0017-z> and Meila M (2007)\n<doi:10.1016/j.jmva.2006.11.013>. Partitions are represented by\nvectors of class labels which allow a straightforward\nintegration with existing clustering algorithms (e.g.\nkmeans()). The package is mostly based on the S4 object system.",
  "URL": "https://github.com/KIT-IISM-EM/partitionComparison",
  "BugReports": "https://github.com/KIT-IISM-EM/partitionComparison/issues",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Authors@R": "c(\nperson(\"Fabian\", \"Ball\",, \"mail@fabian-ball.de\", c(\"aut\", \"cre\", \"cph\", \"ctb\")),\nperson(\"Andreas\", \"Geyer-Schulz\",, \"andreas.geyer-schulz@kit.edu\", c(\"cph\"))\n)",
  "RoxygenNote": "7.2.3",
  "RdMacros": "Rdpack",
  "Repository": "https://kit-iism-em.r-universe.dev",
  "Date/Publication": "2023-08-23 20:32:12 UTC",
  "RemoteUrl": "https://github.com/kit-iism-em/partitioncomparison",
  "RemoteRef": "HEAD",
  "RemoteSha": "abea0d0e96071fc432d1f28ef623625626e8d3eb",
  "RemoteSubdir": "partitionComparison",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-15 10:10:29 UTC",
    "User": "root"
  },
  "MD5sum": "2ede5439a1e8eb79509c17651600b7c6",
  "_user": "kit-iism-em",
  "_type": "src",
  "_file": "partitionComparison_0.2.6.tar.gz",
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  "_created": "2026-05-15T10:10:29.000Z",
  "_published": "2026-06-02T19:15:56.149Z",
  "_distro": "noble",
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  "_commit": {
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    "author": "Fabian Ball <fabian@codagio.de>",
    "committer": "Fabian Ball <fabian@codagio.de>",
    "message": "fixed a \"broken\" (aka a permanent redirect) URL in a the references CRAN went crazy about",
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  "_owner": "kit-iism-em",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_topics": [
    "comparison",
    "dissimilarity-measures",
    "distance-measures",
    "partitions",
    "similarity-measures"
  ],
  "_stars": 2,
  "_userbio": {
    "uuid": 35450238,
    "type": "organization",
    "name": "KIT/IISM/EM",
    "description": "KIT - Karlsruhe Institute of Technology, IISM - Institute of Information Systems and Marketing, EM - Information Services and Electronic Markets"
  },
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/partitionComparison"
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  "_devurl": "https://github.com/kit-iism-em/partitioncomparison",
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/partitionComparison.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
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  "_homeurl": "https://github.com/kit-iism-em/partitioncomparison",
  "_realowner": "kit-iism-em",
  "_cranurl": true,
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      "date": "2017-08-25"
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  "_exports": [
    "adjustedRandIndex",
    "baulieu1",
    "baulieu2",
    "classificationErrorDistance",
    "compareAll",
    "computePairCoefficients",
    "czekanowski",
    "dongensMetric",
    "entropy",
    "fagerMcGowan",
    "folwkesMallowsIndex",
    "gammaStatistics",
    "goodmanKruskal",
    "gowerLegendre",
    "hamann",
    "jaccardCoefficient",
    "kulczynski",
    "larsenAone",
    "lermanIndex",
    "mcconnaughey",
    "minkowskiMeasure",
    "mirkinMetric",
    "mutualInformation",
    "N",
    "N00",
    "N01",
    "N01p",
    "N10",
    "N10p",
    "N11",
    "N12",
    "N21",
    "normalizedLermanIndex",
    "normalizedMutualInformation",
    "PairCoefficients",
    "Partition",
    "pearson",
    "peirce",
    "projectionNumber",
    "randIndex",
    "registerPartitionVectorSignatures",
    "rogersTanimoto",
    "russelRao",
    "rvCoefficient",
    "sokalSneath1",
    "sokalSneath2",
    "sokalSneath3",
    "variationOfInformation",
    "wallaceI",
    "wallaceII"
  ],
  "_help": [
    {
      "page": "partitionComparison-package",
      "title": "partitionComparison: Implements Measures for the Comparison of Two Partitions",
      "topics": [
        "partitionComparison-package",
        "partitionComparison"
      ]
    },
    {
      "page": "subset-Partition-method",
      "title": "Subsetting Partition instances",
      "topics": [
        "[<-,Partition-method"
      ]
    },
    {
      "page": "adjustedRandIndex",
      "title": "Adjusted Rand Index",
      "topics": [
        "adjustedRandIndex",
        "adjustedRandIndex,PairCoefficients,missing-method",
        "adjustedRandIndex,Partition,Partition-method"
      ]
    },
    {
      "page": "baulieu1",
      "title": "Baulieu Index 1",
      "topics": [
        "baulieu1",
        "baulieu1,PairCoefficients,missing-method",
        "baulieu1,Partition,Partition-method"
      ]
    },
    {
      "page": "baulieu2",
      "title": "Baulieu Index 2",
      "topics": [
        "baulieu2",
        "baulieu2,PairCoefficients,missing-method",
        "baulieu2,Partition,Partition-method"
      ]
    },
    {
      "page": "classificationErrorDistance",
      "title": "Classification Error Distance",
      "topics": [
        "classificationErrorDistance",
        "classificationErrorDistance,Partition,Partition-method"
      ]
    },
    {
      "page": "compareAll",
      "title": "Compare two partitions with all measures",
      "topics": [
        "compareAll",
        "compareAll,Partition,Partition-method"
      ]
    },
    {
      "page": "computePairCoefficients",
      "title": "Compute the four coefficients N_{11}, N_{10}, N_{01}, N_{00}",
      "topics": [
        "computePairCoefficients"
      ]
    },
    {
      "page": "czekanowski",
      "title": "Czekanowski Index",
      "topics": [
        "czekanowski",
        "czekanowski,PairCoefficients,missing-method",
        "czekanowski,Partition,Partition-method"
      ]
    },
    {
      "page": "dongensMetric",
      "title": "Dongen's Metric",
      "topics": [
        "dongensMetric",
        "dongensMetric,Partition,Partition-method"
      ]
    },
    {
      "page": "entropy",
      "title": "Entropy",
      "topics": [
        "entropy",
        "entropy,ANY,missing-method",
        "entropy,numeric,numeric-method",
        "entropy,Partition,numeric-method"
      ]
    },
    {
      "page": "fagerMcGowan",
      "title": "Fager & McGowan Index",
      "topics": [
        "fagerMcGowan",
        "fagerMcGowan,PairCoefficients,missing-method",
        "fagerMcGowan,Partition,Partition-method"
      ]
    },
    {
      "page": "folwkesMallowsIndex",
      "title": "Folwkes & Mallows Index",
      "topics": [
        "folwkesMallowsIndex",
        "folwkesMallowsIndex,PairCoefficients,missing-method",
        "folwkesMallowsIndex,Partition,Partition-method"
      ]
    },
    {
      "page": "gammaStatistics",
      "title": "Gamma Statistics",
      "topics": [
        "gammaStatistics",
        "gammaStatistics,PairCoefficients,missing-method",
        "gammaStatistics,Partition,Partition-method"
      ]
    },
    {
      "page": "goodmanKruskal",
      "title": "Goodman & Kruskal Index",
      "topics": [
        "goodmanKruskal",
        "goodmanKruskal,PairCoefficients,missing-method",
        "goodmanKruskal,Partition,Partition-method"
      ]
    },
    {
      "page": "gowerLegendre",
      "title": "Gower & Legendre Index",
      "topics": [
        "gowerLegendre",
        "gowerLegendre,PairCoefficients,missing-method",
        "gowerLegendre,Partition,Partition-method"
      ]
    },
    {
      "page": "hamann",
      "title": "Hamann Coefficient",
      "topics": [
        "hamann",
        "hamann,PairCoefficients,missing-method",
        "hamann,Partition,Partition-method"
      ]
    },
    {
      "page": "jaccardCoefficient",
      "title": "Jaccard Coefficient",
      "topics": [
        "jaccardCoefficient",
        "jaccardCoefficient,PairCoefficients,missing-method",
        "jaccardCoefficient,Partition,Partition-method"
      ]
    },
    {
      "page": "kulczynski",
      "title": "Kulczynski Index",
      "topics": [
        "kulczynski",
        "kulczynski,PairCoefficients,missing-method",
        "kulczynski,Partition,Partition-method"
      ]
    },
    {
      "page": "larsenAone",
      "title": "Larsen & Aone Measure",
      "topics": [
        "larsenAone",
        "larsenAone,Partition,Partition-method"
      ]
    },
    {
      "page": "lermanIndex",
      "title": "Lerman Index",
      "topics": [
        "lermanIndex",
        "lermanIndex,Partition,Partition,missing-method",
        "lermanIndex,Partition,Partition,PairCoefficients-method"
      ]
    },
    {
      "page": "mcconnaughey",
      "title": "McConnaughey Index",
      "topics": [
        "mcconnaughey",
        "mcconnaughey,PairCoefficients,missing-method",
        "mcconnaughey,Partition,Partition-method"
      ]
    },
    {
      "page": "minkowskiMeasure",
      "title": "Minkowski Measure",
      "topics": [
        "minkowskiMeasure",
        "minkowskiMeasure,PairCoefficients,missing-method",
        "minkowskiMeasure,Partition,Partition-method"
      ]
    },
    {
      "page": "mirkinMetric",
      "title": "Mirkin Metric",
      "topics": [
        "mirkinMetric",
        "mirkinMetric,PairCoefficients,missing-method",
        "mirkinMetric,Partition,Partition-method"
      ]
    },
    {
      "page": "mutualInformation",
      "title": "Mutual Information",
      "topics": [
        "mutualInformation",
        "mutualInformation,Partition,Partition-method"
      ]
    },
    {
      "page": "N",
      "title": "Method to retrieve the complex coefficient N",
      "topics": [
        "N",
        "N,PairCoefficients-method"
      ]
    },
    {
      "page": "N00",
      "title": "Method to retrieve the coefficient N_{00}",
      "topics": [
        "N00",
        "N00,PairCoefficients-method"
      ]
    },
    {
      "page": "N01",
      "title": "Method to retrieve the coefficient N_{01}",
      "topics": [
        "N01",
        "N01,PairCoefficients-method"
      ]
    },
    {
      "page": "N01p",
      "title": "Method to retrieve the complex coefficient N'_{01}",
      "topics": [
        "N01p",
        "N01p,PairCoefficients-method"
      ]
    },
    {
      "page": "N10",
      "title": "Method to retrieve the coefficient N_{10}",
      "topics": [
        "N10",
        "N10,PairCoefficients-method"
      ]
    },
    {
      "page": "N10p",
      "title": "Method to retrieve the complex coefficient N'_{10}",
      "topics": [
        "N10p",
        "N10p,PairCoefficients-method"
      ]
    },
    {
      "page": "N11",
      "title": "Method to retrieve the coefficient N_{11}",
      "topics": [
        "N11",
        "N11,PairCoefficients-method"
      ]
    },
    {
      "page": "N12",
      "title": "Method to retrieve the complex coefficient N_{12}",
      "topics": [
        "N12",
        "N12,PairCoefficients-method"
      ]
    },
    {
      "page": "N21",
      "title": "Method to retrieve the complex coefficient N_{21}",
      "topics": [
        "N21",
        "N21,PairCoefficients-method"
      ]
    },
    {
      "page": "normalizedLermanIndex",
      "title": "Normalized Lerman Index",
      "topics": [
        "normalizedLermanIndex",
        "normalizedLermanIndex,Partition,Partition,missing-method",
        "normalizedLermanIndex,Partition,Partition,PairCoefficients-method"
      ]
    },
    {
      "page": "normalizedMutualInformation",
      "title": "Normalized Mutual Information",
      "topics": [
        "normalizedMutualInformation",
        "normalizedMutualInformation,Partition,Partition,character-method",
        "normalizedMutualInformation,Partition,Partition,missing-method"
      ]
    },
    {
      "page": "PairCoefficients-class",
      "title": "S4 class to represent coefficients of object pairs for the comparison of two object partitions (say P and Q).",
      "topics": [
        "PairCoefficients",
        "PairCoefficients-class"
      ]
    },
    {
      "page": "Partition-class",
      "title": "Simple S4 class to represent a partition of objects as vector of class labels.",
      "topics": [
        "Partition",
        "Partition-class"
      ]
    },
    {
      "page": "pearson",
      "title": "Pearson Index",
      "topics": [
        "pearson",
        "pearson,PairCoefficients,missing-method",
        "pearson,Partition,Partition-method"
      ]
    },
    {
      "page": "peirce",
      "title": "Peirce Index",
      "topics": [
        "peirce",
        "peirce,PairCoefficients,missing-method",
        "peirce,Partition,Partition-method"
      ]
    },
    {
      "page": "projectionNumber",
      "title": "Compute the projection number of two partitions",
      "topics": [
        "projectionNumber"
      ]
    },
    {
      "page": "randIndex",
      "title": "Rand Index",
      "topics": [
        "randIndex",
        "randIndex,PairCoefficients,missing-method",
        "randIndex,Partition,Partition-method"
      ]
    },
    {
      "page": "registerPartitionVectorSignatures",
      "title": "Make comparison measures usable with any vectors",
      "topics": [
        "registerPartitionVectorSignatures"
      ]
    },
    {
      "page": "rogersTanimoto",
      "title": "Rogers & Tanimoto Index",
      "topics": [
        "rogersTanimoto",
        "rogersTanimoto,PairCoefficients,missing-method",
        "rogersTanimoto,Partition,Partition-method"
      ]
    },
    {
      "page": "russelRao",
      "title": "Russel & Rao Index",
      "topics": [
        "russelRao",
        "russelRao,PairCoefficients,missing-method",
        "russelRao,Partition,Partition-method"
      ]
    },
    {
      "page": "rvCoefficient",
      "title": "RV Coefficient",
      "topics": [
        "rvCoefficient",
        "rvCoefficient,PairCoefficients,missing-method",
        "rvCoefficient,Partition,Partition-method"
      ]
    },
    {
      "page": "sokalSneath1",
      "title": "Sokal & Sneath Index 1",
      "topics": [
        "sokalSneath1",
        "sokalSneath1,PairCoefficients,missing-method",
        "sokalSneath1,Partition,Partition-method"
      ]
    },
    {
      "page": "sokalSneath2",
      "title": "Sokal & Sneath Index 2",
      "topics": [
        "sokalSneath2",
        "sokalSneath2,PairCoefficients,missing-method",
        "sokalSneath2,Partition,Partition-method"
      ]
    },
    {
      "page": "sokalSneath3",
      "title": "Sokal & Sneath Index 3",
      "topics": [
        "sokalSneath3",
        "sokalSneath3,PairCoefficients,missing-method",
        "sokalSneath3,Partition,Partition-method"
      ]
    },
    {
      "page": "variationOfInformation",
      "title": "Variation of Information",
      "topics": [
        "variationOfInformation",
        "variationOfInformation,Partition,Partition-method"
      ]
    },
    {
      "page": "wallaceI",
      "title": "Wallace I",
      "topics": [
        "wallaceI",
        "wallaceI,PairCoefficients,missing-method",
        "wallaceI,Partition,Partition-method"
      ]
    },
    {
      "page": "wallaceII",
      "title": "Wallace II",
      "topics": [
        "wallaceII",
        "wallaceII,PairCoefficients,missing-method",
        "wallaceII,Partition,Partition-method"
      ]
    }
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