{
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  "Package": "NSM3",
  "Type": "Package",
  "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",
  "LazyLoad": "yes",
  "NeedsCompilation": "yes",
  "Author": "Grant Schneider [aut, cre], Eric Chicken [aut], Rachel Becvarik\n[aut]",
  "Maintainer": "Grant Schneider <gschneidz@gmail.com>",
  "Config/pak/sysreqs": "cmake libgmp3-dev make libicu-dev libuv1-dev",
  "Repository": "https://grantschneider.r-universe.dev",
  "Date/Publication": "2025-07-17 14:04:55 UTC",
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    },
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    },
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    },
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    },
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    },
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    },
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    },
    {
      "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"
    },
    {
      "version": "1.19",
      "date": "2024-11-04"
    },
    {
      "version": "1.20",
      "date": "2025-07-13"
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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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        "Invoice No.",
        "15% of Trans Overstated",
        "Audited or True Value"
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    },
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        "Dry bark weight"
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      "name": "hodgkins.affected",
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      "object": "hodgkins.affected",
      "file": "hodgkins.affected.rda",
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      ],
      "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.glucose.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"
      ],
      "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"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "rad",
      "title": "Dataset",
      "object": "rad",
      "file": "rad.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "ramsay",
      "title": "Dataset",
      "object": "ramsay",
      "file": "ramsay.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "relapse",
      "title": "Dataset",
      "object": "relapse",
      "file": "relapse.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "rhythmicity",
      "title": "Dataset",
      "object": "rhythmicity",
      "file": "rhythmicity.rda",
      "class": [
        "matrix",
        "array"
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      "fields": {},
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      "table": true,
      "tojson": true
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    {
      "name": "rounding.times",
      "title": "Dataset",
      "object": "rounding.times",
      "file": "rounding.times.rda",
      "class": [
        "matrix",
        "array"
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      "fields": {},
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      "table": true,
      "tojson": true
    },
    {
      "name": "ruffed.grouse",
      "title": "Dataset",
      "object": "ruffed.grouse",
      "file": "ruffed.grouse.rda",
      "class": [
        "list"
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      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "RVP",
      "title": "Dataset",
      "object": "RVP",
      "file": "RVP.rda",
      "class": [
        "matrix",
        "array"
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      "fields": [
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        "Field RVP value",
        "Laboratory RVP value"
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      "tojson": true
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      "title": "Dataset",
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      "file": "serum.rda",
      "class": [
        "list"
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      "fields": [],
      "table": true,
      "tojson": true
    },
    {
      "name": "serum",
      "title": "Dataset",
      "object": "test",
      "file": "test.rda",
      "class": [
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        "array"
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      "fields": {},
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      "table": true,
      "tojson": true
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      "name": "settling.velocities",
      "title": "Dataset",
      "object": "settling.velocities",
      "file": "settling.velocities.rda",
      "class": [
        "list"
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      "fields": [],
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      "tojson": true
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    {
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      "object": "smp",
      "file": "smp.rda",
      "class": [
        "numeric"
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      "tojson": true
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    {
      "name": "SP",
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      "class": [
        "matrix",
        "array"
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      "fields": [
        "SP",
        "Gender"
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      "table": true,
      "tojson": true
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      "name": "spacecraft",
      "title": "Dataset",
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      "class": [
        "list"
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      "fields": [],
      "table": true,
      "tojson": true
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      "name": "strength.index",
      "title": "Dataset",
      "object": "strength.index",
      "file": "strength.index.rda",
      "class": [
        "matrix",
        "array"
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      "fields": {},
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      "table": true,
      "tojson": true
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    {
      "name": "swimming",
      "title": "Dataset",
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      "file": "swimming.rda",
      "class": [
        "numeric"
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      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "table11.2",
      "title": "Dataset",
      "object": "table11.2",
      "file": "table11.2.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
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      "tojson": true
    },
    {
      "name": "tb",
      "title": "Dataset",
      "object": "tb",
      "file": "tb.rda",
      "class": [
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "tuna",
      "title": "Dataset",
      "object": "tuna",
      "file": "tuna.rda",
      "class": [
        "list"
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      "fields": [],
      "table": true,
      "tojson": true
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    {
      "name": "velocity",
      "title": "Dataset",
      "object": "velocity",
      "file": "velocity.rda",
      "class": [
        "numeric"
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      "fields": [],
      "table": false,
      "tojson": true
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    {
      "name": "wechsler",
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      "object": "wechsler",
      "file": "wechsler.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
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  ],
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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",
      "title": "Computes a critical value for the Fligner-Policello U distribution.",
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        "cFligPoli"
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    },
    {
      "page": "cFrd",
      "title": "Computes a critical value for the Friedman, Kendall-Babington Smith S distribution.",
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        "cFrd"
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    },
    {
      "page": "ch.ro",
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      "page": "cHaySton",
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        "cHaySton"
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    },
    {
      "page": "cHayStonLSA",
      "title": "Computes a critical value for the Hayter-Stone W* asymptotic distribution.",
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      "page": "cHollBivSym",
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      "page": "cJCK",
      "title": "Computes a critical value for the Jonckheere-Terpstra J distribution.",
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    {
      "page": "cKolSmirn",
      "title": "Computes a critical value for the Kolmogorov-Smirnov J distribution.",
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      "page": "cKW",
      "title": "Computes a critical value for the Kruskal-Wallis H distribution.",
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    {
      "page": "cLepage",
      "title": "Computes a critical value for the Lepage D distribution.",
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    {
      "page": "cMackSkil",
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    {
      "page": "cMaxCorrNor",
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      "page": "cNDWol",
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    {
      "page": "cNWWM",
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    {
      "page": "CorrUpperBound",
      "title": "Computes the upper bound for the null correlation between two overlapping signed rank statistics.",
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    },
    {
      "page": "cPage",
      "title": "Function to compute a critical value for the Page L distribution.",
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        "cPage"
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      "page": "cRangeNor",
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    {
      "page": "cSkilMack",
      "title": "Computes a critical value for the Skillings-Mack SM distribution.",
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    },
    {
      "page": "cUmbrPK",
      "title": "Computes a critical value for the Mack-Wolfe Peak Known A_p distribution.",
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    },
    {
      "page": "cUmbrPU",
      "title": "Computes a critical value for the Mack-Wolfe Peak Unknown A_p-hat distribution.",
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    },
    {
      "page": "cWNMT",
      "title": "Computes a critical value for the Wilcoxon, Nemenyi, McDonald-Thompson R distribution.",
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    },
    {
      "page": "rhythmicity",
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        "wechsler"
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    },
    {
      "page": "dmrl.mc",
      "title": "Hollander-Proschan",
      "topics": [
        "dmrl.mc"
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    },
    {
      "page": "e.mc",
      "title": "Function to compute the Monte Carlo P-value for the observed Epstein E statistic",
      "topics": [
        "e.mc"
      ]
    },
    {
      "page": "ecdf.ks.CI",
      "title": "Kolmogorov's Confidence Band",
      "topics": [
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    },
    {
      "page": "epstein",
      "title": "Epstein",
      "topics": [
        "epstein"
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    },
    {
      "page": "ferg.df",
      "title": "Ferguson's Estimator",
      "topics": [
        "ferg.df"
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    },
    {
      "page": "HoeffD",
      "title": "Function to compute Hoeffding's D statistic for small sample sizes.",
      "topics": [
        "HoeffD"
      ]
    },
    {
      "page": "HollBivSym",
      "title": "Hollander Bivariate Symmetry",
      "topics": [
        "HollBivSym"
      ]
    },
    {
      "page": "kendall.ci",
      "title": "Function to produce a confidence interval for Kendall's tau.",
      "topics": [
        "kendall.ci"
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    {
      "page": "klefsjo.ifr",
      "title": "Klefsjo's IFR",
      "topics": [
        "klefsjo.ifr"
      ]
    },
    {
      "page": "klefsjo.ifr.mc",
      "title": "Function to compute the Monte Carlo P-value for the observed Klefsjo's A* statistic.",
      "topics": [
        "klefsjo.ifr.mc"
      ]
    },
    {
      "page": "klefsjo.ifra",
      "title": "Klefsjo's IFRA",
      "topics": [
        "klefsjo.ifra"
      ]
    },
    {
      "page": "klefsjo.ifra.mc",
      "title": "Function to compute the Monte Carlo P-value for the observed Klefsjo's B* statistic.",
      "topics": [
        "klefsjo.ifra.mc"
      ]
    },
    {
      "page": "kolmogorov",
      "title": "Kolmogorov",
      "topics": [
        "kolmogorov"
      ]
    },
    {
      "page": "mblm",
      "title": "Fitting Median-Based Linear Models (from 'mblm' oackage)",
      "topics": [
        "mblm"
      ]
    },
    {
      "page": "MillerJack",
      "title": "Miller Jackknife",
      "topics": [
        "MillerJack"
      ]
    },
    {
      "page": "mrl",
      "title": "Mean Residual Life",
      "topics": [
        "mrl"
      ]
    },
    {
      "page": "multCh7",
      "title": "Possible arrangements by row for a matrix",
      "topics": [
        "multCh7"
      ]
    },
    {
      "page": "multCh7SM",
      "title": "Possible arrangements by row a matrix, where NA values are ignored",
      "topics": [
        "multCh7SM"
      ]
    },
    {
      "page": "multComb",
      "title": "Combinations of the first n integers in k groups",
      "topics": [
        "multComb"
      ]
    },
    {
      "page": "nb.mc",
      "title": "Function to compute the Monte Carlo P-value for the observed Hollander-Proschan T statistic.",
      "topics": [
        "nb.mc"
      ]
    },
    {
      "page": "newbet",
      "title": "Hollander-Proschan T*",
      "topics": [
        "newbet"
      ]
    },
    {
      "page": "owa",
      "title": "Ordered Walsh Averages",
      "topics": [
        "owa"
      ]
    },
    {
      "page": "pAnsBrad",
      "title": "Function to compute the P-value for the observed Ansari-Bradley C statistic.",
      "topics": [
        "pAnsBrad"
      ]
    },
    {
      "page": "pBohnWolfe",
      "title": "Function to compute the P-value for the observed Bohn-Wolfe U statistic.",
      "topics": [
        "pBohnWolfe"
      ]
    },
    {
      "page": "pDurSkiMa",
      "title": "Durbin, Skillings-Mack",
      "topics": [
        "pDurSkiMa"
      ]
    },
    {
      "page": "pFligPoli",
      "title": "Fligner-Policello",
      "topics": [
        "pFligPoli"
      ]
    },
    {
      "page": "pFrd",
      "title": "Function to compute the P-value for the observed Friedman, Kendall-Babington Smith S statistic.",
      "topics": [
        "pFrd"
      ]
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    {
      "page": "pHaySton",
      "title": "Hayter-Stone",
      "topics": [
        "pHaySton"
      ]
    },
    {
      "page": "pHayStonLSA",
      "title": "Hayter-Sone LSA",
      "topics": [
        "pHayStonLSA"
      ]
    },
    {
      "page": "pHoeff",
      "title": "Hoeffding's D",
      "topics": [
        "pHoeff"
      ]
    },
    {
      "page": "pHollBivSym",
      "title": "Hollander Bivariate Symmetry",
      "topics": [
        "pHollBivSym"
      ]
    },
    {
      "page": "pJCK",
      "title": "Function to compute the P-value for the observed Jonckheere-Terpstra J statistic.",
      "topics": [
        "pJCK"
      ]
    },
    {
      "page": "pKolSmirn",
      "title": "Function to copute the P-value for the observed Kolmogorov-Smirnov J statistic.",
      "topics": [
        "pKolSmirn"
      ]
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    {
      "page": "pKW",
      "title": "Kruskal-Wallis",
      "topics": [
        "pKW"
      ]
    },
    {
      "page": "pLepage",
      "title": "Lepage",
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        "pLepage"
      ]
    },
    {
      "page": "pMackSkil",
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      ]
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      "topics": [
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      "page": "pNDWol",
      "title": "Nemenyi, Damico-Wolfe",
      "topics": [
        "pNDWol"
      ]
    },
    {
      "page": "pNWWM",
      "title": "Nemenyi, Wilcoxon-Wilcox, Miller",
      "topics": [
        "pNWWM"
      ]
    },
    {
      "page": "pPage",
      "title": "Page",
      "topics": [
        "pPage"
      ]
    },
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      "page": "pPairedWilcoxon",
      "title": "Paired Wilcoxon",
      "topics": [
        "pPairedWilcoxon"
      ]
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    {
      "page": "pRangeNor",
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      "topics": [
        "pRangeNor"
      ]
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      "page": "print.NSM3Ch5c",
      "title": "Methods to control displayed output of NSM3 tests.",
      "topics": [
        "print.NSM3Ch5c",
        "print.NSM3Ch5p",
        "print.NSM3Ch6c",
        "print.NSM3Ch6MCc",
        "print.NSM3Ch6MCp",
        "print.NSM3Ch6p",
        "print.NSM3Ch7c",
        "print.NSM3Ch7MCc",
        "print.NSM3Ch7MCp",
        "print.NSM3Ch7p",
        "print.NSM3Ch9ChickFn"
      ]
    },
    {
      "page": "pSDCFlig",
      "title": "Dwass, Steel, Critchlow, Fligner",
      "topics": [
        "pSDCFlig"
      ]
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    {
      "page": "pSkilMack",
      "title": "Skillings-Mack",
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        "pSkilMack"
      ]
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      "page": "pUmbrPK",
      "title": "Function to compute the P-value for the observed Mack-Wolfe Peak Known A_p distribution.",
      "topics": [
        "pUmbrPK"
      ]
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    {
      "page": "pUmbrPU",
      "title": "Mack-Wolfe Peak Unknown",
      "topics": [
        "pUmbrPU"
      ]
    },
    {
      "page": "pWNMT",
      "title": "Wilcoxon, Nemenyi, McDonald-Thompson",
      "topics": [
        "pWNMT"
      ]
    },
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      "page": "qKolSmirnLSA",
      "title": "Quantile function for the asymptotic distribution of the Kolmogorov-Smirnov J* statistic.",
      "topics": [
        "qKolSmirnLSA"
      ]
    },
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      "page": "RFPW",
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        "RFPW"
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