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  "Version": "1.20",
  "Date": "2025-07-12",
  "Title": "Functions and Datasets to Accompany Hollander, Wolfe, and\nChicken - Nonparametric Statistical Methods, Third Edition",
  "Authors@R": "c(\nperson(given = \"Grant\",\nfamily = \"Schneider\",\nrole = c(\"aut\", \"cre\"),\nemail = \"gschneidz@gmail.com\"),\nperson(given = \"Eric\",\nfamily = \"Chicken\",\nrole = \"aut\"),\nperson(given = \"Rachel\",\nfamily = \"Becvarik\",\nrole = \"aut\"))",
  "Description": "Designed to replace the tables which were in the back of\nthe first two editions of Hollander and Wolfe - Nonparametric\nStatistical Methods.  Exact procedures are performed when\ncomputationally possible.  Monte Carlo and Asymptotic\nprocedures are performed otherwise.  For those procedures\nincluded in the base packages, our code simply provides a\nwrapper to standardize the output with the other procedures in\nthe package.",
  "License": "GPL-2",
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  "NeedsCompilation": "yes",
  "Author": "Grant Schneider [aut, cre], Eric Chicken [aut], Rachel Becvarik\n[aut]",
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    "message": "Merge pull request #8 from changsun20/fix/pansbrad-asymptotic-tail\n\nfix: correct pAnsBrad asymptotic tail",
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    },
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    },
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    },
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    },
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    },
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      "date": "2018-02-25"
    },
    {
      "version": "1.12",
      "date": "2018-05-16"
    },
    {
      "version": "1.13",
      "date": "2020-03-22"
    },
    {
      "version": "1.14",
      "date": "2020-04-19"
    },
    {
      "version": "1.15",
      "date": "2020-08-31"
    },
    {
      "version": "1.16",
      "date": "2021-04-06"
    },
    {
      "version": "1.17",
      "date": "2022-08-16"
    },
    {
      "version": "1.18",
      "date": "2023-09-04"
    },
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      "date": "2024-11-04"
    },
    {
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  ],
  "_exports": [
    "cAnsBrad",
    "cBohnWolfe",
    "cDurSkiMa",
    "cFligPoli",
    "cFrd",
    "ch.ro",
    "cHaySton",
    "cHayStonLSA",
    "cHollBivSym",
    "cJCK",
    "cKolSmirn",
    "cKW",
    "cLepage",
    "cMackSkil",
    "cMaxCorrNor",
    "cNDWol",
    "cNWWM",
    "CorrUpperBound",
    "cPage",
    "cRangeNor",
    "cSDCFlig",
    "cSkilMack",
    "cUmbrPK",
    "cUmbrPU",
    "cWNMT",
    "dmrl.mc",
    "e.mc",
    "ecdf.ks.CI",
    "epstein",
    "ferg.df",
    "HoeffD",
    "HollBivSym",
    "kendall.ci",
    "klefsjo.ifr",
    "klefsjo.ifr.mc",
    "klefsjo.ifra",
    "klefsjo.ifra.mc",
    "kolmogorov",
    "mblm",
    "MillerJack",
    "mrl",
    "multCh7",
    "multCh7SM",
    "multComb",
    "nb.mc",
    "newbet",
    "owa",
    "pAnsBrad",
    "pBohnWolfe",
    "pDurSkiMa",
    "pFligPoli",
    "pFrd",
    "pHaySton",
    "pHayStonLSA",
    "pHoeff",
    "pHollBivSym",
    "pJCK",
    "pKolSmirn",
    "pKW",
    "pLepage",
    "pMackSkil",
    "pMaxCorrNor",
    "pNDWol",
    "pNWWM",
    "pPage",
    "pPairedWilcoxon",
    "pRangeNor",
    "print.NSM3Ch5c",
    "print.NSM3Ch5p",
    "print.NSM3Ch6c",
    "print.NSM3Ch6MCc",
    "print.NSM3Ch6MCp",
    "print.NSM3Ch6p",
    "print.NSM3Ch7c",
    "print.NSM3Ch7MCc",
    "print.NSM3Ch7MCp",
    "print.NSM3Ch7p",
    "print.NSM3Ch9ChickFn",
    "pSDCFlig",
    "pSkilMack",
    "pUmbrPK",
    "pUmbrPU",
    "pWNMT",
    "qKolSmirnLSA",
    "RFPW",
    "RSS",
    "sen.adichie",
    "svr.df",
    "tc",
    "theil",
    "zelen.test"
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      "object": "gun.registration",
      "file": "gun.registration.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [],
      "rows": 2,
      "table": true,
      "tojson": true
    },
    {
      "name": "hamilton",
      "title": "Dataset",
      "object": "hamilton",
      "file": "hamilton.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "hodgkins.affected",
      "title": "Dataset",
      "object": "hodgkins.affected",
      "file": "hodgkins.affected.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "relapse",
        "days"
      ],
      "rows": 25,
      "table": true,
      "tojson": true
    },
    {
      "name": "hodgkins.total",
      "title": "Dataset",
      "object": "hodgkins.total",
      "file": "hodgkins.total.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "relapse",
        "days"
      ],
      "rows": 24,
      "table": true,
      "tojson": true
    },
    {
      "name": "hydroxycortisol",
      "title": "Dataset",
      "object": "hydroxycortisol",
      "file": "hydroxycortisol.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "hydroxyproline",
      "title": "Dataset",
      "object": "hydroxyproline",
      "file": "hydroxyproline.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "hypnotic.susceptibility",
      "title": "Dataset",
      "object": "hypnotic.susceptibility",
      "file": "hypnotic.susceptibility.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "insulin.clearance",
      "title": "Dataset",
      "object": "insulin.clearance",
      "file": "insulin.clearance.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "JASA1994",
      "title": "Dataset",
      "object": "JASA1994",
      "file": "JASA1994.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x",
        "delta"
      ],
      "rows": 432,
      "table": true,
      "tojson": true
    },
    {
      "name": "JASA1995",
      "title": "Dataset",
      "object": "JASA1995",
      "file": "JASA1995.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x",
        "delta"
      ],
      "rows": 444,
      "table": true,
      "tojson": true
    },
    {
      "name": "jung.parekh",
      "title": "Dataset",
      "object": "jung.parekh",
      "file": "jung.parekh.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "kentucky.pokeweed",
      "title": "Dataset",
      "object": "kentucky.pokeweed",
      "file": "kentucky.pokeweed.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "leukemia",
      "title": "Dataset",
      "object": "leukemia",
      "file": "leukemia.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "liver.scan",
      "title": "Dataset",
      "object": "liver.scan",
      "file": "liver.scan.rda",
      "class": [
        "array"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "liver.scan8",
      "title": "Dataset",
      "object": "liver.scan8",
      "file": "liver.scan8.rda",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [],
      "rows": 2,
      "table": true,
      "tojson": true
    },
    {
      "name": "mayfly",
      "title": "Dataset",
      "object": "mayfly",
      "file": "mayfly.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "mean.drop",
      "title": "Dataset",
      "object": "mean.drop",
      "file": "mean.drop.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "metabolic.rate",
      "title": "Dataset",
      "object": "metabolic.rate",
      "file": "metabolic.rate.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "methyl",
      "title": "Dataset",
      "object": "methyl",
      "file": "methyl.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "motivational.effect",
      "title": "Dataset",
      "object": "motivational.effect",
      "file": "motivational.effect.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "mucociliary",
      "title": "Dataset",
      "object": "mucociliary",
      "file": "mucociliary.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "net.oxygen.consumption",
      "title": "Dataset",
      "object": "net.oxygen.consumption",
      "file": "net.oxygen.consumption.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "NHANES.III",
      "title": "Dataset",
      "object": "NHANES.III",
      "file": "NHANES.III.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Subject",
        "Gender",
        "Age",
        "BMI",
        "ArmCir",
        "ButtocksCir",
        "ThighCir"
      ],
      "rows": 13267,
      "table": true,
      "tojson": true
    },
    {
      "name": "niacin",
      "title": "Dataset",
      "object": "niacin",
      "file": "niacin.rda",
      "class": [
        "array"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "no.feedback",
      "title": "Dataset",
      "object": "no.feedback",
      "file": "no.feedback.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "not.prednisone",
      "title": "Dataset",
      "object": "not.prednisone",
      "file": "not.prednisone.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "oxidant.content",
      "title": "Dataset",
      "object": "oxidant.content",
      "file": "oxidant.content.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "pigs",
      "title": "Dataset",
      "object": "pigs",
      "file": "pigs.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "plasma",
      "title": "Dataset",
      "object": "plasma",
      "file": "plasma.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "value",
        "group"
      ],
      "rows": 15,
      "table": true,
      "tojson": true
    },
    {
      "name": "plasma.glucoose",
      "title": "Dataset",
      "object": "plasma.glucose",
      "file": "plasma.glucose.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "plasma.healthy",
      "title": "Dataset",
      "object": "plasma.healthy",
      "file": "plasma.healthy.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "plasma.poisoned",
      "title": "Dataset",
      "object": "plasma.poisoned",
      "file": "plasma.poisoned.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "platelet.counts",
      "title": "Dataset",
      "object": "platelet.counts",
      "file": "platelet.counts.rda",
      "class": [
        "list"
      ],
      "fields": [],
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      "tojson": true
    },
    {
      "name": "pokeweed",
      "title": "Dataset",
      "object": "pokeweed",
      "file": "pokeweed.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "pre",
      "title": "Dataset",
      "object": "pre",
      "file": "pre.rda",
      "class": [
        "numeric"
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      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "prednisone",
      "title": "Dataset",
      "object": "prednisone",
      "file": "prednisone.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "proline.collagen",
      "title": "Dataset",
      "object": "proline.collagen",
      "file": "proline.collagen.rda",
      "class": [
        "list"
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      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "rad",
      "title": "Dataset",
      "object": "rad",
      "file": "rad.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
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      "tojson": true
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    {
      "name": "ramsay",
      "title": "Dataset",
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      "file": "ramsay.rda",
      "class": [
        "numeric"
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      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "relapse",
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      "object": "relapse",
      "file": "relapse.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
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    {
      "name": "rhythmicity",
      "title": "Dataset",
      "object": "rhythmicity",
      "file": "rhythmicity.rda",
      "class": [
        "matrix",
        "array"
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      "fields": [],
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      "title": "Dataset",
      "object": "rounding.times",
      "file": "rounding.times.rda",
      "class": [
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      "fields": [],
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      "tojson": true
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    {
      "name": "ruffed.grouse",
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      "object": "ruffed.grouse",
      "file": "ruffed.grouse.rda",
      "class": [
        "list"
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      "fields": [],
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      "class": [
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        "array"
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      "fields": [
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        "Laboratory RVP value"
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      "class": [
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      "fields": [],
      "table": true,
      "tojson": true
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      "name": "serum",
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      "class": [
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        "array"
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      "fields": [
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      "file": "strength.index.rda",
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      "file": "swimming.rda",
      "class": [
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    {
      "name": "table11.2",
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        "numeric"
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      "tojson": true
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      "class": [
        "numeric"
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      "tojson": true
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      "name": "tuna",
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      "class": [
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      "table": true,
      "tojson": true
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      "name": "wechsler",
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        "list"
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      "fields": [],
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      "page": "cAnsBrad",
      "title": "Function to compute a critical value for the Ansari-Bradley C distribution.",
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    },
    {
      "page": "cBohnWolfe",
      "title": "Function to compute a critical value for the Bohn-Wolfe U distribution.",
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      "page": "cDurSkiMa",
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      "page": "cFligPoli",
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      "page": "cFrd",
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      "page": "ch.ro",
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      "page": "cKolSmirn",
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      "page": "cKW",
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      "page": "cLepage",
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      "page": "cNDWol",
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      "page": "cNWWM",
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      "page": "CorrUpperBound",
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      "page": "cPage",
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      "page": "cUmbrPK",
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      "page": "cUmbrPU",
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      "page": "cWNMT",
      "title": "Computes a critical value for the Wilcoxon, Nemenyi, McDonald-Thompson R distribution.",
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    },
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      "page": "rhythmicity",
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      "page": "dmrl.mc",
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      "page": "e.mc",
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      "page": "ecdf.ks.CI",
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      "page": "epstein",
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      "page": "ferg.df",
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      "page": "HoeffD",
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      "page": "HollBivSym",
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      "page": "kendall.ci",
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      "page": "klefsjo.ifr",
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      "page": "klefsjo.ifr.mc",
      "title": "Function to compute the Monte Carlo P-value for the observed Klefsjo's A* statistic.",
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      "page": "klefsjo.ifra",
      "title": "Klefsjo's IFRA",
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        "klefsjo.ifra"
      ]
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    {
      "page": "klefsjo.ifra.mc",
      "title": "Function to compute the Monte Carlo P-value for the observed Klefsjo's B* statistic.",
      "topics": [
        "klefsjo.ifra.mc"
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      "page": "kolmogorov",
      "title": "Kolmogorov",
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        "kolmogorov"
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      "page": "mblm",
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        "mblm"
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      "page": "MillerJack",
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        "MillerJack"
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      "page": "mrl",
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        "mrl"
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      "page": "multCh7",
      "title": "Possible arrangements by row for a matrix",
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      "page": "multCh7SM",
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        "multCh7SM"
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      "page": "multComb",
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      "page": "nb.mc",
      "title": "Function to compute the Monte Carlo P-value for the observed Hollander-Proschan T statistic.",
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      "page": "newbet",
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        "newbet"
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    {
      "page": "owa",
      "title": "Ordered Walsh Averages",
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        "owa"
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      "page": "pAnsBrad",
      "title": "Function to compute the P-value for the observed Ansari-Bradley C statistic.",
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      "title": "Function to compute the P-value for the observed Bohn-Wolfe U statistic.",
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        "pBohnWolfe"
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      "page": "pDurSkiMa",
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        "pDurSkiMa"
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      "page": "pFligPoli",
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      ]
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      "page": "pFrd",
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        "pHaySton"
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      "page": "pHayStonLSA",
      "title": "Hayter-Sone LSA",
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        "pHayStonLSA"
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    {
      "page": "pHoeff",
      "title": "Hoeffding's D",
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        "pHoeff"
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    {
      "page": "pHollBivSym",
      "title": "Hollander Bivariate Symmetry",
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        "pHollBivSym"
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      "page": "pJCK",
      "title": "Function to compute the P-value for the observed Jonckheere-Terpstra J statistic.",
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        "pKolSmirn"
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      "page": "pKW",
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      "page": "pLepage",
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      "page": "pMackSkil",
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