{
  "_id": "6a106ebbacfb0bcc41cab448",
  "Package": "distrEx",
  "Version": "2.9.6",
  "Date": "2025-01-11",
  "Title": "Extensions of Package 'distr'",
  "Description": "Extends package 'distr' by functionals, distances, and\nconditional distributions.",
  "Authors@R": "c(person(\"Matthias\", \"Kohl\", role=c(\"cre\", \"cph\"),\nemail=\"Matthias.Kohl@stamats.de\"), person(\"Peter\", \"Ruckdeschel\", role=c(\"aut\",\n\"cph\")))",
  "ByteCompile": "yes",
  "License": "LGPL-3",
  "Encoding": "UTF-8",
  "URL": "http://distr.r-forge.r-project.org/",
  "LastChangedDate": "{$LastChangedDate$}",
  "LastChangedRevision": "{$LastChangedRevision$}",
  "VCS/SVNRevision": "1482",
  "Repository": "https://r-forge.r-universe.dev",
  "Date/Publication": "2025-10-08 14:21:28 UTC",
  "RemoteUrl": "https://github.com/r-forge/distr",
  "RemoteRef": "HEAD",
  "RemoteSha": "83ab195970012cbfd50c5ef19e5456449bddc510",
  "RemoteSubdir": "pkg/distrEx",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-05-07 07:53:04 UTC",
    "User": "root"
  },
  "Author": "Matthias Kohl [cre, cph],\nPeter Ruckdeschel [aut, cph]",
  "Maintainer": "Matthias Kohl <Matthias.Kohl@stamats.de>",
  "MD5sum": "d6a51d905df1095efe319e4b9afcb084",
  "_user": "r-forge",
  "_type": "src",
  "_file": "distrEx_2.9.6.tar.gz",
  "_fileid": "b9d10136dffb6becc1120ba2511e611deaf1f69850f1560371131ae1cc8632db",
  "_filesize": 4551950,
  "_sha256": "b9d10136dffb6becc1120ba2511e611deaf1f69850f1560371131ae1cc8632db",
  "_created": "2026-05-07T07:53:04.000Z",
  "_published": "2026-05-22T14:56:59.481Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77405173546,
      "time": 137,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "6849773419"
    },
    {
      "job": 77405173394,
      "time": 135,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "6849774701"
    },
    {
      "job": 77405173557,
      "time": 135,
      "config": "linux-release-arm64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6849773362"
    },
    {
      "job": 77405173495,
      "time": 132,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6849772398"
    },
    {
      "job": 77405173489,
      "time": 123,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "6849769144"
    },
    {
      "job": 77405173701,
      "time": 238,
      "config": "macos-oldrel-x86_64",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "6849804877"
    },
    {
      "job": 77405172733,
      "time": 108,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6849765277"
    },
    {
      "job": 77405172860,
      "time": 274,
      "config": "macos-release-x86_64",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6849816109"
    },
    {
      "job": 77405172221,
      "time": 173,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6849732231"
    },
    {
      "job": 77405172247,
      "time": 93,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7163570088"
    },
    {
      "job": 77405172949,
      "time": 167,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "NOTE",
      "artifact": "6849782903"
    },
    {
      "job": 77405173490,
      "time": 181,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "NOTE",
      "artifact": "6849788806"
    },
    {
      "job": 77405173703,
      "time": 106,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "NOTE",
      "artifact": "6849764438"
    }
  ],
  "_buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/r-forge/distr",
  "_commit": {
    "id": "83ab195970012cbfd50c5ef19e5456449bddc510",
    "author": "ruckdeschel (Prof. Dr ) <peter.ruckdeschel@uni-oldenburg.de>",
    "committer": "ruckdeschel (Prof. Dr ) <peter.ruckdeschel@uni-oldenburg.de>",
    "message": "[distr] devel: fixed a glitch in E-method for signature(Gammad,missing,missing)\n\ngit-svn-id: svn://svn.r-forge.r-project.org/svnroot/distr@1511 edb9625f-4e0d-4859-8d74-9fd3b1da38cb\n",
    "time": 1759933288
  },
  "_maintainer": {
    "name": "Matthias Kohl",
    "email": "matthias.kohl@stamats.de",
    "login": "stamats",
    "uuid": 11901280
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.4",
      "role": "Depends"
    },
    {
      "package": "methods",
      "role": "Depends"
    },
    {
      "package": "distr",
      "version": ">= 2.8.0",
      "role": "Depends"
    },
    {
      "package": "startupmsg",
      "version": ">= 1.0.0",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "tcltk",
      "role": "Suggests"
    },
    {
      "package": "robustbase",
      "role": "Enhances"
    }
  ],
  "_owner": "r-forge",
  "_selfowned": true,
  "_usedby": 16,
  "_updates": [
    {
      "week": "2025-19",
      "n": 5
    },
    {
      "week": "2025-41",
      "n": 1
    }
  ],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "peterruckdeschel",
      "count": 1092,
      "uuid": 40060325
    },
    {
      "user": "stamats",
      "count": 390,
      "uuid": 11901280
    },
    {
      "user": "theussl",
      "count": 1,
      "uuid": 22165873
    }
  ],
  "_userbio": {
    "uuid": 75573726,
    "type": "organization",
    "name": " R-Forge",
    "description": "git-svn mirrors from R-Forge"
  },
  "_downloads": {
    "count": 5404,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/distrEx"
  },
  "_mentions": 2,
  "_devurl": "https://github.com/r-forge/distr",
  "_searchresults": 117,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/distrEx.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/r-forge/distr",
  "_realowner": "r-forge",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0-4.1",
      "date": "2005-10-21"
    },
    {
      "version": "0.4-2",
      "date": "2005-11-22"
    },
    {
      "version": "0.4-3",
      "date": "2006-05-12"
    },
    {
      "version": "0.4-4",
      "date": "2006-11-28"
    },
    {
      "version": "1.8",
      "date": "2006-12-18"
    },
    {
      "version": "1.9",
      "date": "2007-07-30"
    },
    {
      "version": "2.0",
      "date": "2008-09-12"
    },
    {
      "version": "2.0.1",
      "date": "2008-10-12"
    },
    {
      "version": "2.0.2",
      "date": "2008-11-06"
    },
    {
      "version": "2.0.3",
      "date": "2008-11-30"
    },
    {
      "version": "2.0.4",
      "date": "2009-01-13"
    },
    {
      "version": "2.0.5",
      "date": "2009-02-20"
    },
    {
      "version": "2.1",
      "date": "2009-04-19"
    },
    {
      "version": "2.2",
      "date": "2009-11-03"
    },
    {
      "version": "2.3",
      "date": "2011-01-20"
    },
    {
      "version": "2.3.1",
      "date": "2011-10-19"
    },
    {
      "version": "2.4",
      "date": "2013-02-07"
    },
    {
      "version": "2.5",
      "date": "2013-09-13"
    },
    {
      "version": "2.6",
      "date": "2016-04-24"
    },
    {
      "version": "2.6.1",
      "date": "2017-04-23"
    },
    {
      "version": "2.7.0",
      "date": "2018-07-22"
    },
    {
      "version": "2.8.0",
      "date": "2019-03-29"
    },
    {
      "version": "2.9.0",
      "date": "2022-11-15"
    },
    {
      "version": "2.9.2",
      "date": "2024-01-30"
    },
    {
      "version": "2.9.3",
      "date": "2024-08-26"
    },
    {
      "version": "2.9.5",
      "date": "2024-09-02"
    },
    {
      "version": "2.9.6",
      "date": "2025-01-13"
    }
  ],
  "_exports": [
    ".filterEargs",
    ".filterFunargs",
    ".getIntbounds",
    ".nmsToGather",
    ".qtlIntegrate",
    ".reorganizeDiagnosticList",
    ".showallNamesDiagnosticList",
    "AsymTotalVarDist",
    "coerce",
    "cond",
    "ContaminationSize",
    "ConvexContamination",
    "CvMDist",
    "DiscreteMVDistribution",
    "distrExIntegrate",
    "distrExMASK",
    "distrExMOVED",
    "distrExoptions",
    "distrExOptions",
    "E",
    "EmpiricalMVDistribution",
    "EuclCondition",
    "getDiagnostic",
    "getdistrExOption",
    "GLIntegrate",
    "HellingerDist",
    "IQR",
    "KolmogorovDist",
    "kurtosis",
    "liesInSupport",
    "LMCondDistribution",
    "LMParameter",
    "location",
    "location<-",
    "m1df",
    "m2df",
    "mad",
    "make01",
    "median",
    "Min",
    "Min<-",
    "name",
    "name<-",
    "OAsymTotalVarDist",
    "plot",
    "print.DiagnosticClass",
    "PrognCondDistribution",
    "PrognCondition",
    "Range",
    "scale",
    "scale<-",
    "sd",
    "shape",
    "shape<-",
    "show",
    "showDiagnostic",
    "skewness",
    "support",
    "TotalVarDist",
    "var"
  ],
  "_help": [
    {
      "page": "0distrEx-package",
      "title": "distrEx - Extensions of Package distr",
      "concept": [
        "S4 condition class",
        "S4 distribution class",
        "functional",
        "kurtosis",
        "median",
        "skewness",
        "mad",
        "IQR",
        "var",
        "E",
        "distribution distance",
        "multivariate distribution",
        "conditional distribution"
      ],
      "topics": [
        "distrEx-package",
        "distrEx"
      ]
    },
    {
      "page": "AbscontCondDistribution-class",
      "title": "Absolutely continuous conditional distribution",
      "concept": [
        "absolutely continous distribution",
        "conditional distribution",
        "S4 distribution class"
      ],
      "topics": [
        "AbscontCondDistribution-class"
      ]
    },
    {
      "page": "AsymTotalVarDist",
      "title": "Generic function for the computation of asymmetric total variation distance of two distributions",
      "concept": [
        "distance"
      ],
      "topics": [
        "AsymTotalVarDist",
        "AsymTotalVarDist,AbscontDistribution,AbscontDistribution-method",
        "AsymTotalVarDist,AbscontDistribution,DiscreteDistribution-method",
        "AsymTotalVarDist,AbscontDistribution,numeric-method",
        "AsymTotalVarDist,AcDcLcDistribution,AcDcLcDistribution-method",
        "AsymTotalVarDist,DiscreteDistribution,AbscontDistribution-method",
        "AsymTotalVarDist,DiscreteDistribution,DiscreteDistribution-method",
        "AsymTotalVarDist,DiscreteDistribution,LatticeDistribution-method",
        "AsymTotalVarDist,DiscreteDistribution,numeric-method",
        "AsymTotalVarDist,LatticeDistribution,DiscreteDistribution-method",
        "AsymTotalVarDist,LatticeDistribution,LatticeDistribution-method",
        "AsymTotalVarDist,numeric,AbscontDistribution-method",
        "AsymTotalVarDist,numeric,DiscreteDistribution-method",
        "AsymTotalVarDist-methods"
      ]
    },
    {
      "page": "Condition-class",
      "title": "Conditions",
      "concept": [
        "conditioning",
        "condition",
        "S4 condition class",
        "conditional distribution"
      ],
      "topics": [
        "Condition-class",
        "name,Condition-method",
        "name<-,Condition-method"
      ]
    },
    {
      "page": "ContaminationSize",
      "title": "Generic Function for the Computation of the Convex Contamination (Pseudo-)Distance of Two Distributions",
      "concept": [
        "convex contamination",
        "gross error",
        "distance"
      ],
      "topics": [
        "ContaminationSize",
        "ContaminationSize,AbscontDistribution,AbscontDistribution-method",
        "ContaminationSize,AcDcLcDistribution,AcDcLcDistribution-method",
        "ContaminationSize,DiscreteDistribution,DiscreteDistribution-method",
        "ContaminationSize,DiscreteDistribution,LatticeDistribution-method",
        "ContaminationSize,LatticeDistribution,DiscreteDistribution-method",
        "ContaminationSize,LatticeDistribution,LatticeDistribution-method",
        "ContaminationSize-methods"
      ]
    },
    {
      "page": "ConvexContamination",
      "title": "Generic Function for Generating Convex Contaminations",
      "concept": [
        "convex contamination",
        "gross error",
        "univariate distribution",
        "absolutely continuous distribution",
        "discrete distribution",
        "S4 distribution class"
      ],
      "topics": [
        "ConvexContamination",
        "ConvexContamination,AbscontDistribution,AbscontDistribution,numeric-method",
        "ConvexContamination,AbscontDistribution,UnivariateDistribution,numeric-method",
        "ConvexContamination,AcDcLcDistribution,AcDcLcDistribution,numeric-method",
        "ConvexContamination,DiscreteDistribution,DiscreteDistribution,numeric-method",
        "ConvexContamination,DiscreteDistribution,LatticeDistribution,numeric-method",
        "ConvexContamination,LatticeDistribution,DiscreteDistribution,numeric-method",
        "ConvexContamination,LatticeDistribution,LatticeDistribution,numeric-method",
        "ConvexContamination,UnivariateDistribution,UnivariateDistribution,numeric-method",
        "ConvexContamination-methods"
      ]
    },
    {
      "page": "CvMDist",
      "title": "Generic function for the computation of the Cramer - von Mises distance of two distributions",
      "concept": [
        "distance"
      ],
      "topics": [
        "CvMDist",
        "CvMDist,numeric,UnivariateDistribution-method",
        "CvMDist,UnivariateDistribution,UnivariateDistribution-method",
        "CvMDist-methods"
      ]
    },
    {
      "page": "dim-methods",
      "title": "Methods for Function dim in Package `distrEx'",
      "concept": [
        "dimension",
        "space",
        "accessor function"
      ],
      "topics": [
        "dim",
        "dim,DiscreteMVDistribution-method",
        "dim-methods"
      ]
    },
    {
      "page": "DiscreteCondDistribution-class",
      "title": "Discrete conditional distribution",
      "concept": [
        "conditional distribution",
        "discrete distribution",
        "S4 distribution class"
      ],
      "topics": [
        "DiscreteCondDistribution-class"
      ]
    },
    {
      "page": "DiscreteMVDistribution",
      "title": "Generating function for multivariate discrete distribution",
      "concept": [
        "multivariate distribution",
        "discrete distribution",
        "S4 distribution class",
        "generating function"
      ],
      "topics": [
        "DiscreteMVDistribution"
      ]
    },
    {
      "page": "DiscreteMVDistribution-class",
      "title": "Discrete Multivariate Distributions",
      "concept": [
        "multivariate distribution",
        "discrete distribution",
        "S4 distribution class"
      ],
      "topics": [
        "DiscreteMVDistribution-class",
        "support,DiscreteMVDistribution-method"
      ]
    },
    {
      "page": "distrExIntegrate",
      "title": "Integration of One-Dimensional Functions",
      "concept": [
        "integration"
      ],
      "topics": [
        "distrExIntegrate",
        "getDiagnostic",
        "print.DiagnosticClass",
        "showDiagnostic"
      ]
    },
    {
      "page": "distrExMASK",
      "title": "Masking of/by other functions in package \"distrEx\"",
      "concept": [
        "masking",
        "info file"
      ],
      "topics": [
        "distrExMASK",
        "MASKING"
      ]
    },
    {
      "page": "distrExMOVED",
      "title": "Moved functionality from package \"distrEx\"",
      "concept": [
        "moved functionality",
        "info file"
      ],
      "topics": [
        "distrExMOVED",
        "MOVEDING"
      ]
    },
    {
      "page": "distrExOptions",
      "title": "Function to change the global variables of the package `distrEx'",
      "concept": [
        "global options",
        "options"
      ],
      "topics": [
        "distrExOptions",
        "distrExoptions",
        "ElowerTruncQuantile",
        "ErelativeTolerance",
        "EupperTruncQuantile",
        "getdistrExOption",
        "GLIntegrateOrder",
        "GLIntegrateTruncQuantile",
        "hSmooth",
        "IQR.fac",
        "m1dfLowerTruncQuantile",
        "m1dfRelativeTolerance",
        "m2dfLowerTruncQuantile",
        "m2dfRelativeTolerance",
        "MCIterations",
        "nDiscretize",
        "propagate.names.functionals"
      ]
    },
    {
      "page": "E",
      "title": "Generic Function for the Computation of (Conditional) Expectations",
      "concept": [
        "expectation",
        "conditional expectation",
        "integration",
        "functional",
        "moment"
      ],
      "topics": [
        ".qtlIntegrate",
        "E",
        "E,AbscontCondDistribution,function,numeric-method",
        "E,AbscontCondDistribution,missing,numeric-method",
        "E,AbscontDistribution,function,missing-method",
        "E,AbscontDistribution,missing,missing-method",
        "E,AcDcLcDistribution,ANY,ANY-method",
        "E,AffLinAbscontDistribution,missing,missing-method",
        "E,AffLinDiscreteDistribution,missing,missing-method",
        "E,AffLinDistribution,missing,missing-method",
        "E,AffLinLatticeDistribution,missing,missing-method",
        "E,AffLinUnivarLebDecDistribution,missing,missing-method",
        "E,Arcsine,missing,missing-method",
        "E,Beta,missing,missing-method",
        "E,Binom,missing,missing-method",
        "E,Cauchy,function,missing-method",
        "E,Cauchy,missing,missing-method",
        "E,Chisq,missing,missing-method",
        "E,CompoundDistribution,missing,missing-method",
        "E,DExp,missing,missing-method",
        "E,Dirac,missing,missing-method",
        "E,DiscreteCondDistribution,function,numeric-method",
        "E,DiscreteCondDistribution,missing,numeric-method",
        "E,DiscreteDistribution,function,missing-method",
        "E,DiscreteDistribution,missing,missing-method",
        "E,DiscreteMVDistribution,function,missing-method",
        "E,DiscreteMVDistribution,missing,missing-method",
        "E,Exp,missing,missing-method",
        "E,Fd,missing,missing-method",
        "E,Gammad,function,missing-method",
        "E,Gammad,missing,missing-method",
        "E,Geom,missing,missing-method",
        "E,Hyper,missing,missing-method",
        "E,LatticeDistribution,function,missing-method",
        "E,LatticeDistribution,missing,missing-method",
        "E,Lnorm,missing,missing-method",
        "E,Logis,missing,missing-method",
        "E,MultivariateDistribution,function,missing-method",
        "E,MultivariateDistribution,missing,missing-method",
        "E,Nbinom,missing,missing-method",
        "E,Norm,missing,missing-method",
        "E,Pois,missing,missing-method",
        "E,Td,missing,missing-method",
        "E,Unif,missing,missing-method",
        "E,UnivariateCondDistribution,function,numeric-method",
        "E,UnivariateCondDistribution,missing,numeric-method",
        "E,UnivariateDistribution,function,missing-method",
        "E,UnivariateDistribution,missing,missing-method",
        "E,UnivarLebDecDistribution,function,ANY-method",
        "E,UnivarLebDecDistribution,function,missing-method",
        "E,UnivarLebDecDistribution,missing,ANY-method",
        "E,UnivarLebDecDistribution,missing,missing-method",
        "E,UnivarMixingDistribution,function,ANY-method",
        "E,UnivarMixingDistribution,function,missing-method",
        "E,UnivarMixingDistribution,missing,ANY-method",
        "E,UnivarMixingDistribution,missing,missing-method",
        "E,Weibull,function,missing-method",
        "E,Weibull,missing,missing-method",
        "E-methods"
      ]
    },
    {
      "page": "EmpiricalMVDistribution",
      "title": "Generating function for mulitvariate discrete distribution",
      "concept": [
        "multivariate distribution",
        "empirical distribution",
        "S4 distribution class",
        "generating function"
      ],
      "topics": [
        "EmpiricalMVDistribution"
      ]
    },
    {
      "page": "EuclCondition",
      "title": "Generating function for EuclCondition-class",
      "concept": [
        "generating function",
        "conditioning",
        "condition",
        "S4 condition class",
        "conditional distribution"
      ],
      "topics": [
        "EuclCondition"
      ]
    },
    {
      "page": "EuclCondition-class",
      "title": "Conditioning by an Euclidean space.",
      "concept": [
        "conditioning",
        "condition",
        "S4 condition class",
        "conditional distribution"
      ],
      "topics": [
        "EuclCondition-class",
        "Range",
        "Range,EuclCondition-method",
        "show,EuclCondition-method"
      ]
    },
    {
      "page": "GLIntegrate",
      "title": "Gauss-Legendre Quadrature",
      "concept": [
        "integration"
      ],
      "topics": [
        "GLIntegrate"
      ]
    },
    {
      "page": "HellingerDist",
      "title": "Generic function for the computation of the Hellinger distance of two distributions",
      "concept": [
        "distance"
      ],
      "topics": [
        "HellingerDist",
        "HellingerDist,AbscontDistribution,AbscontDistribution-method",
        "HellingerDist,AbscontDistribution,DiscreteDistribution-method",
        "HellingerDist,AbscontDistribution,numeric-method",
        "HellingerDist,AcDcLcDistribution,AcDcLcDistribution-method",
        "HellingerDist,DiscreteDistribution,AbscontDistribution-method",
        "HellingerDist,DiscreteDistribution,DiscreteDistribution-method",
        "HellingerDist,DiscreteDistribution,LatticeDistribution-method",
        "HellingerDist,DiscreteDistribution,numeric-method",
        "HellingerDist,DiscreteMVDistribution,DiscreteMVDistribution-method",
        "HellingerDist,LatticeDistribution,DiscreteDistribution-method",
        "HellingerDist,LatticeDistribution,LatticeDistribution-method",
        "HellingerDist,numeric,AbscontDistribution-method",
        "HellingerDist,numeric,DiscreteDistribution-method",
        "HellingerDist-methods"
      ]
    },
    {
      "page": "KolmogorovDist",
      "title": "Generic function for the computation of the Kolmogorov distance of two distributions",
      "concept": [
        "distance"
      ],
      "topics": [
        "KolmogorovDist",
        "KolmogorovDist,AbscontDistribution,AbscontDistribution-method",
        "KolmogorovDist,AbscontDistribution,DiscreteDistribution-method",
        "KolmogorovDist,AcDcLcDistribution,AcDcLcDistribution-method",
        "KolmogorovDist,DiscreteDistribution,AbscontDistribution-method",
        "KolmogorovDist,DiscreteDistribution,DiscreteDistribution-method",
        "KolmogorovDist,DiscreteDistribution,LatticeDistribution-method",
        "KolmogorovDist,LatticeDistribution,DiscreteDistribution-method",
        "KolmogorovDist,LatticeDistribution,LatticeDistribution-method",
        "KolmogorovDist,numeric,UnivariateDistribution-method",
        "KolmogorovDist,UnivariateDistribution,numeric-method",
        "KolmogorovDist-methods"
      ]
    },
    {
      "page": "liesInSupport",
      "title": "Generic Function for Testing the Support of a Distribution",
      "concept": [
        "support"
      ],
      "topics": [
        "liesInSupport,DiscreteMVDistribution,matrix-method",
        "liesInSupport,DiscreteMVDistribution,numeric-method"
      ]
    },
    {
      "page": "LMCondDistribution",
      "title": "Generating function for the conditional distribution of a linear regression model.",
      "concept": [
        "conditional distribution",
        "S4 distribution class",
        "generating function"
      ],
      "topics": [
        "LMCondDistribution"
      ]
    },
    {
      "page": "LMParameter",
      "title": "Generating function for LMParameter-class",
      "concept": [
        "parameter",
        "S4 parameter class",
        "generating function"
      ],
      "topics": [
        "LMParameter"
      ]
    },
    {
      "page": "LMParameter-class",
      "title": "Parameter of a linear regression model",
      "concept": [
        "parameter",
        "S4 parameter class",
        "S4 linear model class"
      ],
      "topics": [
        "LMParameter-class",
        "show,LMParameter-method"
      ]
    },
    {
      "page": "m1df",
      "title": "Generic Function for the Computation of Clipped First Moments",
      "concept": [
        "functional",
        "truncated moment",
        "moment"
      ],
      "topics": [
        "m1df",
        "m1df,AbscontDistribution-method",
        "m1df,AffLinDistribution-method",
        "m1df,Binom-method",
        "m1df,Chisq-method",
        "m1df,Exp-method",
        "m1df,LatticeDistribution-method",
        "m1df,Norm-method",
        "m1df,Pois-method",
        "m1df,UnivariateDistribution-method",
        "m1df-methods"
      ]
    },
    {
      "page": "m2df",
      "title": "Generic function for the computation of clipped second moments",
      "concept": [
        "moment",
        "functional",
        "truncated moment"
      ],
      "topics": [
        "m2df",
        "m2df,AbscontDistribution-method",
        "m2df,AffLinDistribution-method",
        "m2df,Binom-method",
        "m2df,Chisq-method",
        "m2df,Exp-method",
        "m2df,LatticeDistribution-method",
        "m2df,Norm-method",
        "m2df,Pois-method",
        "m2df,UnivariateDistribution-method",
        "m2df-methods"
      ]
    },
    {
      "page": "make01",
      "title": "Centering and Standardization of Univariate Distributions",
      "concept": [
        "functional",
        "centering",
        "standardization"
      ],
      "topics": [
        "make01"
      ]
    },
    {
      "page": "MultivariateDistribution-class",
      "title": "Multivariate Distributions",
      "concept": [
        "multivariate distribution",
        "S4 distribution class"
      ],
      "topics": [
        "MultivariateDistribution-class",
        "plot,MultivariateDistribution-method",
        "show,MultivariateDistribution-method"
      ]
    },
    {
      "page": "OAsymTotalVarDist",
      "title": "Generic function for the computation of (minimal) asymmetric total variation distance of two distributions",
      "concept": [
        "distance"
      ],
      "topics": [
        "OAsymTotalVarDist",
        "OAsymTotalVarDist,AbscontDistribution,AbscontDistribution-method",
        "OAsymTotalVarDist,AbscontDistribution,DiscreteDistribution-method",
        "OAsymTotalVarDist,AbscontDistribution,numeric-method",
        "OAsymTotalVarDist,AcDcLcDistribution,AcDcLcDistribution-method",
        "OAsymTotalVarDist,DiscreteDistribution,AbscontDistribution-method",
        "OAsymTotalVarDist,DiscreteDistribution,DiscreteDistribution-method",
        "OAsymTotalVarDist,DiscreteDistribution,LatticeDistribution-method",
        "OAsymTotalVarDist,DiscreteDistribution,numeric-method",
        "OAsymTotalVarDist,LatticeDistribution,DiscreteDistribution-method",
        "OAsymTotalVarDist,LatticeDistribution,LatticeDistribution-method",
        "OAsymTotalVarDist,numeric,AbscontDistribution-method",
        "OAsymTotalVarDist,numeric,DiscreteDistribution-method",
        "OAsymTotalVarDist-methods"
      ]
    },
    {
      "page": "plot-methods",
      "title": "Methods for Function plot in Package `distrEx'",
      "topics": [
        "plot",
        "plot,MultivariateDistribution,missing-method",
        "plot,UnivariateCondDistribution,missing-method",
        "plot-methods"
      ]
    },
    {
      "page": "PrognCondDistribution",
      "title": "Generating function for PrognCondDistribution-class",
      "concept": [
        "conditional distribution",
        "S4 distribution class",
        "generating function"
      ],
      "topics": [
        "PrognCondDistribution"
      ]
    },
    {
      "page": "PrognCondDistribution-class",
      "title": "Posterior distribution in convolution",
      "concept": [
        "S4 distribution class",
        "conditional distribution"
      ],
      "topics": [
        "PrognCondDistribution-class"
      ]
    },
    {
      "page": "PrognCondition-class",
      "title": "Conditions of class 'PrognCondition'",
      "concept": [
        "condition",
        "conditioning",
        "S4 condition class",
        "prediction distribution",
        "conditional distribution"
      ],
      "topics": [
        "PrognCondition",
        "PrognCondition-class",
        "show,PrognCondition-method"
      ]
    },
    {
      "page": "TotalVarDist",
      "title": "Generic function for the computation of the total variation distance of two distributions",
      "concept": [
        "distance"
      ],
      "topics": [
        "TotalVarDist",
        "TotalVarDist,AbscontDistribution,AbscontDistribution-method",
        "TotalVarDist,AbscontDistribution,DiscreteDistribution-method",
        "TotalVarDist,AbscontDistribution,numeric-method",
        "TotalVarDist,AcDcLcDistribution,AcDcLcDistribution-method",
        "TotalVarDist,DiscreteDistribution,AbscontDistribution-method",
        "TotalVarDist,DiscreteDistribution,DiscreteDistribution-method",
        "TotalVarDist,DiscreteDistribution,LatticeDistribution-method",
        "TotalVarDist,DiscreteDistribution,numeric-method",
        "TotalVarDist,DiscreteMVDistribution,DiscreteMVDistribution-method",
        "TotalVarDist,LatticeDistribution,DiscreteDistribution-method",
        "TotalVarDist,LatticeDistribution,LatticeDistribution-method",
        "TotalVarDist,numeric,AbscontDistribution-method",
        "TotalVarDist,numeric,DiscreteDistribution-method",
        "TotalVarDist-methods"
      ]
    },
    {
      "page": "UnivariateCondDistribution-class",
      "title": "Univariate conditional distribution",
      "concept": [
        "conditional distribution"
      ],
      "topics": [
        "cond",
        "cond,UnivariateCondDistribution-method",
        "plot,UnivariateCondDistribution-method",
        "show,UnivariateCondDistribution-method",
        "UnivariateCondDistribution-class"
      ]
    },
    {
      "page": "Var",
      "title": "Generic Functions for the Computation of Functionals",
      "concept": [
        "functional",
        "var",
        "sd",
        "IQR",
        "mad",
        "median",
        "skewness",
        "kurtosis",
        "integration"
      ],
      "topics": [
        "IQR",
        "IQR,AffLinAbscontDistribution-method",
        "IQR,AffLinDiscreteDistribution-method",
        "IQR,AffLinDistribution-method",
        "IQR,AffLinLatticeDistribution-method",
        "IQR,ANY-method",
        "IQR,Arcsine-method",
        "IQR,Cauchy-method",
        "IQR,DExp-method",
        "IQR,Dirac-method",
        "IQR,DiscreteDistribution-method",
        "IQR,Exp-method",
        "IQR,Geom-method",
        "IQR,Logis-method",
        "IQR,Norm-method",
        "IQR,Unif-method",
        "IQR,UnivariateCondDistribution-method",
        "IQR,UnivariateDistribution-method",
        "IQR-methods",
        "kurtosis",
        "kurtosis,AffLinAbscontDistribution-method",
        "kurtosis,AffLinDiscreteDistribution-method",
        "kurtosis,AffLinDistribution-method",
        "kurtosis,AffLinLatticeDistribution-method",
        "kurtosis,ANY-method",
        "kurtosis,Arcsine-method",
        "kurtosis,Beta-method",
        "kurtosis,Binom-method",
        "kurtosis,Cauchy-method",
        "kurtosis,Chisq-method",
        "kurtosis,DExp-method",
        "kurtosis,Dirac-method",
        "kurtosis,Exp-method",
        "kurtosis,Fd-method",
        "kurtosis,Gammad-method",
        "kurtosis,Geom-method",
        "kurtosis,Hyper-method",
        "kurtosis,Lnorm-method",
        "kurtosis,Logis-method",
        "kurtosis,Nbinom-method",
        "kurtosis,Norm-method",
        "kurtosis,Pois-method",
        "kurtosis,Td-method",
        "kurtosis,Unif-method",
        "kurtosis,UnivariateDistribution-method",
        "kurtosis,Weibull-method",
        "kurtosis-methods",
        "mad",
        "mad,AffLinAbscontDistribution-method",
        "mad,AffLinDiscreteDistribution-method",
        "mad,AffLinDistribution-method",
        "mad,AffLinLatticeDistribution-method",
        "mad,ANY-method",
        "mad,Arcsine-method",
        "mad,Cauchy-method",
        "mad,DExp-method",
        "mad,Dirac-method",
        "mad,Exp-method",
        "mad,Geom-method",
        "mad,Logis-method",
        "mad,Norm-method",
        "mad,Unif-method",
        "mad,UnivariateDistribution-method",
        "mad-methods",
        "median",
        "median,AffLinAbscontDistribution-method",
        "median,AffLinDiscreteDistribution-method",
        "median,AffLinDistribution-method",
        "median,AffLinLatticeDistribution-method",
        "median,ANY-method",
        "median,Arcsine-method",
        "median,Cauchy-method",
        "median,DExp-method",
        "median,Dirac-method",
        "median,Exp-method",
        "median,Geom-method",
        "median,Lnorm-method",
        "median,Logis-method",
        "median,Norm-method",
        "median,Unif-method",
        "median,UnivariateCondDistribution-method",
        "median,UnivariateDistribution-method",
        "median-methods",
        "sd",
        "sd,Norm-method",
        "sd,UnivariateDistribution-method",
        "sd-methods",
        "skewness",
        "skewness,AffLinAbscontDistribution-method",
        "skewness,AffLinDiscreteDistribution-method",
        "skewness,AffLinDistribution-method",
        "skewness,AffLinLatticeDistribution-method",
        "skewness,ANY-method",
        "skewness,Arcsine-method",
        "skewness,Beta-method",
        "skewness,Binom-method",
        "skewness,Cauchy-method",
        "skewness,Chisq-method",
        "skewness,DExp-method",
        "skewness,Dirac-method",
        "skewness,Exp-method",
        "skewness,Fd-method",
        "skewness,Gammad-method",
        "skewness,Geom-method",
        "skewness,Hyper-method",
        "skewness,Lnorm-method",
        "skewness,Logis-method",
        "skewness,Nbinom-method",
        "skewness,Norm-method",
        "skewness,Pois-method",
        "skewness,Td-method",
        "skewness,Unif-method",
        "skewness,UnivariateDistribution-method",
        "skewness,Weibull-method",
        "skewness-methods",
        "var",
        "var,AffLinAbscontDistribution-method",
        "var,AffLinDiscreteDistribution-method",
        "var,AffLinDistribution-method",
        "var,AffLinLatticeDistribution-method",
        "var,ANY-method",
        "var,Arcsine-method",
        "var,Beta-method",
        "var,Binom-method",
        "var,Cauchy-method",
        "var,Chisq-method",
        "var,CompoundDistribution-method",
        "var,DExp-method",
        "var,Dirac-method",
        "var,Exp-method",
        "var,Fd-method",
        "var,Gammad-method",
        "var,Geom-method",
        "var,Hyper-method",
        "var,Lnorm-method",
        "var,Logis-method",
        "var,Nbinom-method",
        "var,Norm-method",
        "var,Pois-method",
        "var,Td-method",
        "var,Unif-method",
        "var,UnivariateDistribution-method",
        "var,Weibull-method",
        "var-methods"
      ]
    }
  ],
  "_rundeps": [
    "distr",
    "MASS",
    "sfsmisc",
    "startupmsg"
  ],
  "_score": 6.385232426463686,
  "_indexed": true,
  "_nocasepkg": "distrex",
  "_universes": [
    "r-forge",
    "stamats"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "2.9.6",
      "date": "2026-05-07T07:55:14.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "83ab195970012cbfd50c5ef19e5456449bddc510",
      "fileid": "75617ebb55a3f6fbccaedfde2a1316dcd1474c5b419685f21117139547bde9c1",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "2.9.6",
      "date": "2026-05-07T07:55:13.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "83ab195970012cbfd50c5ef19e5456449bddc510",
      "fileid": "222d2cf1c7787e107c6b1a89e34a8092f40d3dc94eb8e8aa8a5c79ed53db119a",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "2.9.6",
      "date": "2026-05-07T07:55:17.000Z",
      "distro": "noble",
      "arch": "aarch64",
      "commit": "83ab195970012cbfd50c5ef19e5456449bddc510",
      "fileid": "2779c0b5401f295a0285969ce4efbc9f7d1a6825eb534b759c20ee4700e111c6",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "2.9.6",
      "date": "2026-05-07T07:55:05.000Z",
      "distro": "noble",
      "arch": "x86_64",
      "commit": "83ab195970012cbfd50c5ef19e5456449bddc510",
      "fileid": "28021567ad1de6941949b10a41261c3a052ca03f59551354a759038f97380110",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "2.9.6",
      "date": "2026-05-07T07:55:00.000Z",
      "arch": "aarch64",
      "commit": "83ab195970012cbfd50c5ef19e5456449bddc510",
      "fileid": "68731252a24a1868ca9df4e1606b6d58115fd1a9e34e92a7fd08b51539913bb6",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "2.9.6",
      "date": "2026-05-07T07:56:18.000Z",
      "arch": "x86_64",
      "commit": "83ab195970012cbfd50c5ef19e5456449bddc510",
      "fileid": "fdf66d447550cd1bd2000bbbfb55daf8caef29e6517d67ce018273fc41f3907d",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "2.9.6",
      "date": "2026-05-07T07:54:50.000Z",
      "arch": "aarch64",
      "commit": "83ab195970012cbfd50c5ef19e5456449bddc510",
      "fileid": "fdd3a0fd16249f98042032f4a4e7a7f9352a05ee48c675ccfaf5c477f12fde94",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "2.9.6",
      "date": "2026-05-07T07:56:44.000Z",
      "arch": "x86_64",
      "commit": "83ab195970012cbfd50c5ef19e5456449bddc510",
      "fileid": "cc6418aa2cf26386f475f45ad8af218e2f6907d9a49e08069bd0a8aa500d4cd8",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "2.9.6",
      "date": "2026-05-07T07:55:30.000Z",
      "arch": "x86_64",
      "commit": "83ab195970012cbfd50c5ef19e5456449bddc510",
      "fileid": "1cbd0bc261b85c72ef1f56f0cde1c9c0bd0d91711d8a41671a8e6b328824b3a6",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "2.9.6",
      "date": "2026-05-07T07:55:42.000Z",
      "arch": "x86_64",
      "commit": "83ab195970012cbfd50c5ef19e5456449bddc510",
      "fileid": "b25c7ef4c71e54f49c5e592a60f19996dbf9d8d0651cb353b5ab91cd06584543",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "2.9.6",
      "date": "2026-05-07T07:54:35.000Z",
      "arch": "x86_64",
      "commit": "83ab195970012cbfd50c5ef19e5456449bddc510",
      "fileid": "3dc59bfd4019ade1a97cb063301582a4a9c8a2b9bdbf38c8a12f55d0af5e6de3",
      "status": "success",
      "check": "NOTE",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "2.9.6",
      "date": "2026-05-22T14:56:42.000Z",
      "arch": "emscripten",
      "commit": "83ab195970012cbfd50c5ef19e5456449bddc510",
      "fileid": "21ed8f83acbd773b5196924b56a0fdb2dddfb29dd170ab290ed941efc237a36a",
      "status": "success",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25483140582"
    }
  ]
}