{
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  "Package": "pvclass",
  "Type": "Package",
  "Title": "P-Values for Classification",
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  "Date": "2025-04-30",
  "Authors@R": "c(person(given = \"Niki\",\nfamily = \"Zumbrunnen\",\nrole = c(\"aut\", \"cre\"),\nemail = \"niki.zumbrunnen@gmail.com\"),\nperson(given = \"Lutz\",\nfamily = \"Duembgen.\",\nrole = \"aut\",\nemail = \"lutz.duembgen@stat.unibe.ch\"))",
  "Description": "Computes nonparametric p-values for the potential class\nmemberships of new observations as well as cross-validated\np-values for the training data. The p-values are based on\npermutation tests applied to an estimated Bayesian likelihood\nratio, using a plug-in statistic for the Gaussian model, 'k\nnearest neighbors', 'weighted nearest neighbors' or 'penalized\nlogistic regression'. Additionally, it provides graphical\ndisplays and quantitative analyses of the p-values.",
  "License": "GPL (>= 2)",
  "LazyLoad": "yes",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-25 09:45:17 UTC",
    "User": "root"
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  "Author": "Niki Zumbrunnen [aut, cre], Lutz Duembgen. [aut]",
  "Maintainer": "Niki Zumbrunnen <niki.zumbrunnen@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-04-30 07:30:01 UTC",
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  "_dependencies": [
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      "role": "Imports"
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  "_owner": "cran",
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  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/pvclass"
  },
  "_searchresults": 13,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/pvclass.html",
    "manual.pdf"
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  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
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      "version": "1.0",
      "date": "2010-07-29"
    },
    {
      "version": "1.1",
      "date": "2014-06-11"
    },
    {
      "version": "1.2",
      "date": "2014-11-24"
    },
    {
      "version": "1.3",
      "date": "2015-11-03"
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    "cvpvs.knn",
    "cvpvs.logreg",
    "cvpvs.wnn",
    "pvs",
    "pvs.gaussian",
    "pvs.knn",
    "pvs.logreg",
    "pvs.wnn"
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      "title": "Medical Dataset",
      "object": "buerk",
      "file": "buerk.RData",
      "class": [
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      ],
      "fields": [
        "age",
        "sex",
        "asa",
        "rf_cer",
        "rf_car",
        "rf_pul",
        "rf_ren",
        "rf_hep",
        "rf_imu",
        "rf_metab",
        "rf_noc",
        "e_malig",
        "e_vascu",
        "antibio",
        "op",
        "opacute",
        "optime",
        "opsepsis",
        "opskill",
        "blood",
        "icu",
        "mortal",
        "morb"
      ],
      "rows": 21556,
      "table": true,
      "tojson": true
    }
  ],
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    {
      "page": "pvclass-package",
      "title": "P-Values for Classification",
      "topics": [
        "pvclass-package",
        "pvclass"
      ]
    },
    {
      "page": "analyze.pvs",
      "title": "Analyze P-Values",
      "topics": [
        "analyze.pvs"
      ]
    },
    {
      "page": "buerk",
      "title": "Medical Dataset",
      "topics": [
        "buerk"
      ]
    },
    {
      "page": "cvpvs",
      "title": "Cross-Validated P-Values",
      "topics": [
        "cvpvs"
      ]
    },
    {
      "page": "cvpvs.gaussian",
      "title": "Cross-Validated P-Values (Gaussian)",
      "topics": [
        "cvpvs.gaussian"
      ]
    },
    {
      "page": "cvpvs.knn",
      "title": "Cross-Validated P-Values (k Nearest Neighbors)",
      "topics": [
        "cvpvs.knn"
      ]
    },
    {
      "page": "cvpvs.logreg",
      "title": "Cross-Validated P-Values (Penalized Multicategory Logistic Regression)",
      "topics": [
        "cvpvs.logreg"
      ]
    },
    {
      "page": "cvpvs.wnn",
      "title": "Cross-Validated P-Values (Weighted Nearest Neighbors)",
      "topics": [
        "cvpvs.wnn"
      ]
    },
    {
      "page": "pvs",
      "title": "P-Values to Classify New Observations",
      "topics": [
        "pvs"
      ]
    },
    {
      "page": "pvs.gaussian",
      "title": "P-Values to Classify New Observations (Gaussian)",
      "topics": [
        "pvs.gaussian"
      ]
    },
    {
      "page": "pvs.knn",
      "title": "P-Values to Classify New Observations (k Nearest Neighbors)",
      "topics": [
        "pvs.knn"
      ]
    },
    {
      "page": "pvs.logreg",
      "title": "P-Values to Classify New Observations (Penalized Multicategory Logistic Regression)",
      "topics": [
        "pvs.logreg"
      ]
    },
    {
      "page": "pvs.wnn",
      "title": "P-Values to Classify New Observations (Weighted Nearest Neighbors)",
      "topics": [
        "pvs.wnn"
      ]
    }
  ],
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