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  "Package": "FuzzyResampling",
  "Type": "Package",
  "Title": "Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers",
  "Version": "0.6.4",
  "Authors@R": "c(\nperson(\"Maciej\", \"Romaniuk\", email = \"mroman@ibspan.waw.pl\", role = c(\"aut\",\"cre\")),\nperson(\"Przemyslaw\", \"Grzegorzewski\", email = \"przemyslaw.grzegorzewski@ibspan.waw.pl\", role = \"aut\"),\nperson(\"Olgierd\", \"Hryniewicz\", email = \"hryniewi@ibspan.waw.pl\", role = \"aut\"))",
  "Maintainer": "Maciej Romaniuk <mroman@ibspan.waw.pl>",
  "Description": "The classical (i.e. Efron's, see Efron and Tibshirani\n(1994, ISBN:978-0412042317) \"An Introduction to the Bootstrap\")\nbootstrap is widely used for both the real (i.e. \"crisp\") and\nfuzzy data. The main aim of the algorithms implemented in this\npackage is to overcome a problem with repetition of a few\ndistinct values and to create fuzzy numbers, which are\n\"similar\" (but not the same) to values from the initial sample.\nTo do this, different characteristics of triangular/trapezoidal\nnumbers are kept (like the value, the ambiguity, etc., see\nGrzegorzewski et al. <doi:10.2991/eusflat-19.2019.68>,\nGrzegorzewski et al. (2020) <doi:10.2991/ijcis.d.201012.003>,\nGrzegorzewski et al. (2020) <doi:10.34768/amcs-2020-0022>,\nGrzegorzewski and Romaniuk (2022)\n<doi:10.1007/978-3-030-95929-6_3>, Romaniuk and Hryniewicz\n(2019) <doi:10.1007/s00500-018-3251-5>). Some additional\nprocedures related to these resampling methods are also\nprovided, like calculation of the Bertoluzza et al.'s distance\n(aka the mid/spread distance, see Bertoluzza et al. (1995) \"On\na new class of distances between fuzzy numbers\") and estimation\nof the p-value of the one- and two- sample bootstrapped test\nfor the mean (see Lubiano et al. (2016,\n<doi:10.1016/j.ejor.2015.11.016>)). Additionally, there are\nprocedures which randomly generate trapezoidal fuzzy numbers\nusing some well-known statistical distributions.",
  "URL": "https://github.com/mroman-ibs/FuzzyResampling",
  "BugReports": "https://github.com/mroman-ibs/FuzzyResampling/issues",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.2",
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  "Repository": "https://mroman-ibs.r-universe.dev",
  "Date/Publication": "2024-10-04 09:19:22 UTC",
  "RemoteUrl": "https://github.com/mroman-ibs/fuzzyresampling",
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  "Author": "Maciej Romaniuk [aut, cre],\nPrzemyslaw Grzegorzewski [aut],\nOlgierd Hryniewicz [aut]",
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      "date": "2021-09-15"
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    "CalculateExpValue",
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    "CalculateValue",
    "CalculateWidth",
    "ClassicalBootstrap",
    "ComparePowerOneSampleCTest",
    "ComparisonOneSampleCTest",
    "ComparisonSEMean",
    "DMethod",
    "EWMethod",
    "GeneratorFuzzyNumbers",
    "GeneratorNExpUU",
    "GeneratorNU",
    "OneSampleCTest",
    "resamplingMethods",
    "samplingGenerators",
    "SEResamplingMean",
    "TwoSampleCTest",
    "VAAMethod",
    "VAFMethod",
    "VAMethod",
    "WMethod"
  ],
  "_help": [
    {
      "page": "BertoluzzaDistance",
      "title": "Calculate Bertoluzza's (mid/spread) distance for triangular and trapezoidal fuzzy numbers",
      "topics": [
        "BertoluzzaDistance"
      ]
    },
    {
      "page": "CalculateAmbiguity",
      "title": "Calculation of the ambiguity for triangular and trapezoidal fuzzy numbers",
      "concept": [
        "characteristics of fuzzy numbers functions"
      ],
      "topics": [
        "CalculateAmbiguity"
      ]
    },
    {
      "page": "CalculateAmbiguityL",
      "title": "Calculation of the left-hand ambiguity for triangular and trapezoidal fuzzy numbers",
      "concept": [
        "characteristics of fuzzy numbers functions"
      ],
      "topics": [
        "CalculateAmbiguityL"
      ]
    },
    {
      "page": "CalculateAmbiguityR",
      "title": "Calculation of the right-hand ambiguity for triangular and trapezoidal fuzzy numbers",
      "concept": [
        "characteristics of fuzzy numbers functions"
      ],
      "topics": [
        "CalculateAmbiguityR"
      ]
    },
    {
      "page": "CalculateExpValue",
      "title": "Calculation of the expected value for triangular and trapezoidal fuzzy numbers",
      "concept": [
        "characteristics of fuzzy numbers functions"
      ],
      "topics": [
        "CalculateExpValue"
      ]
    },
    {
      "page": "CalculateFuzziness",
      "title": "Calculation of the fuzziness for triangular and trapezoidal fuzzy numbers",
      "concept": [
        "characteristics of fuzzy numbers functions"
      ],
      "topics": [
        "CalculateFuzziness"
      ]
    },
    {
      "page": "CalculateValue",
      "title": "Calculation of the value for triangular and trapezoidal fuzzy numbers",
      "concept": [
        "characteristics of fuzzy numbers functions"
      ],
      "topics": [
        "CalculateValue"
      ]
    },
    {
      "page": "CalculateWidth",
      "title": "Calculation of the width for triangular and trapezoidal fuzzy numbers",
      "concept": [
        "characteristics of fuzzy numbers functions"
      ],
      "topics": [
        "CalculateWidth"
      ]
    },
    {
      "page": "classicalBootstrap",
      "title": "Classical bootstrap procedure for triangular and trapezoidal fuzzy numbers",
      "concept": [
        "resampling functions"
      ],
      "topics": [
        "ClassicalBootstrap"
      ]
    },
    {
      "page": "ComparePowerOneSampleCTest",
      "title": "Comparison of the resampling approaches based on the power for the one-sample test for the mean.",
      "concept": [
        "comparison of resampling methods"
      ],
      "topics": [
        "ComparePowerOneSampleCTest"
      ]
    },
    {
      "page": "ComparisonOneSampleCTest",
      "title": "Comparison of the resampling approaches based on the power for the one-sample test for the mean.",
      "concept": [
        "comparison of resampling methods"
      ],
      "topics": [
        "ComparisonOneSampleCTest"
      ]
    },
    {
      "page": "ComparisonSEMean",
      "title": "Comparison of the resampling approaches based on the SE/MSE for the mean.",
      "concept": [
        "comparison of resampling methods"
      ],
      "topics": [
        "ComparisonSEMean"
      ]
    },
    {
      "page": "dmethod",
      "title": "d method for resampling triangular and trapezoidal fuzzy numbers",
      "concept": [
        "resampling functions"
      ],
      "topics": [
        "DMethod"
      ]
    },
    {
      "page": "EWmethod",
      "title": "E(xpected value)W(idth) resampling method for triangular and trapezoidal fuzzy numbers",
      "concept": [
        "resampling functions"
      ],
      "topics": [
        "EWMethod"
      ]
    },
    {
      "page": "GeneratorFuzzyNumbers",
      "title": "Generate initial sample using various random distributions.",
      "concept": [
        "sampling functions"
      ],
      "topics": [
        "GeneratorFuzzyNumbers"
      ]
    },
    {
      "page": "GeneratorNExpUU",
      "title": "Generate initial sample using the normal and uniform distributions.",
      "concept": [
        "sampling functions"
      ],
      "topics": [
        "GeneratorNExpUU"
      ]
    },
    {
      "page": "GeneratorNU",
      "title": "Generate initial sample using the normal and uniform distributions.",
      "concept": [
        "sampling functions"
      ],
      "topics": [
        "GeneratorNU"
      ]
    },
    {
      "page": "OneSampleCTest",
      "title": "Calculate p-value of the one-sample test for the mean",
      "concept": [
        "bootstrapped version of test"
      ],
      "topics": [
        "OneSampleCTest"
      ]
    },
    {
      "page": "resamplingMethods",
      "title": "A vector containing names of all resampling methods.",
      "topics": [
        "resamplingMethods"
      ]
    },
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      "title": "A vector containing names of all sampling generators",
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    },
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      ]
    },
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