{
  "_id": "6ac2368bd743750d376d6fb9",
  "Package": "pgnorm",
  "Type": "Package",
  "Title": "The p-Generalized Normal Distribution",
  "Version": "2.0.1",
  "Date": "2015-11-23",
  "Authors@R": "person(given = \"Steve\",\nfamily = \"Kalke\",\nrole = c(\"aut\", \"cre\"),\nemail = \"steve.kalke@googlemail.com\")",
  "Description": "Evaluation of the pdf and the cdf of the univariate,\nnoncentral, p-generalized normal distribution. Sampling from\nthe univariate, noncentral, p-generalized normal distribution\nusing either the p-generalized polar method, the p-generalized\nrejecting polar method, the Monty Python method, the Ziggurat\nmethod or the method of Nardon and Pianca. The package also\nincludes routines for the simulation of the bivariate,\np-generalized uniform distribution and the simulation of the\ncorresponding angular distribution.",
  "License": "GPL (>= 2)",
  "LazyData": "true",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-04 11:18:36 UTC",
    "User": "root"
  },
  "Author": "Steve Kalke [aut, cre]",
  "Maintainer": "Steve Kalke <steve.kalke@googlemail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-08-02 07:39:38 UTC",
  "RemoteUrl": "https://github.com/cran/pgnorm",
  "RemoteRef": "HEAD",
  "RemoteSha": "206c98bd691a5464aaa01215d5b307a80aa9ea22",
  "_user": "cran",
  "_type": "src",
  "_file": "pgnorm_2.0.1.tar.gz",
  "_fileid": "https://r2.ropensci.org/e0ba53c5e76dd7b903f87c649bab4f9afffa26ac8aeb46d9d43e7813d5caf836",
  "_filesize": 183927,
  "_sha256": "e0ba53c5e76dd7b903f87c649bab4f9afffa26ac8aeb46d9d43e7813d5caf836",
  "_expires": "2027-01-12T11:20:41.000Z",
  "_created": "2026-10-04T11:18:36.000Z",
  "_published": "2026-10-04T11:20:43.417Z",
  "_jobs": [
    {
      "job": 111424634803,
      "time": 93,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11301780916"
    },
    {
      "job": 111424634807,
      "time": 88,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11302555296"
    },
    {
      "job": 111424300420,
      "time": 119,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11301721778"
    },
    {
      "job": 111424634799,
      "time": 77,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "11301706097"
    },
    {
      "job": 111424634770,
      "time": 52,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11302345132"
    },
    {
      "job": 111424634775,
      "time": 72,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11302580296"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/37198173075",
  "_status": "success",
  "_upstream": "https://github.com/cran/pgnorm",
  "_commit": {
    "id": "206c98bd691a5464aaa01215d5b307a80aa9ea22",
    "author": "Steve Kalke <steve.kalke@googlemail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 2.0.1\n",
    "time": 1754120378
  },
  "_maintainer": {
    "name": "Steve Kalke",
    "email": "steve.kalke@googlemail.com"
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 2,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 630,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 576,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/pgnorm"
  },
  "_searchresults": 19,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/pgnorm.html"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "1.1",
      "date": "2012-05-14"
    },
    {
      "version": "2.0",
      "date": "2015-11-24"
    },
    {
      "version": "2.0.1",
      "date": "2025-08-02"
    }
  ],
  "_exports": [
    "dpgnorm",
    "ppgnorm",
    "rpgangular",
    "rpgnorm",
    "rpgnorm_montypython",
    "rpgnorm_nardonpianca",
    "rpgnorm_pgenpolar",
    "rpgnorm_pgenpolarrej",
    "rpgnorm_ziggurat",
    "rpgunif",
    "zigsetup"
  ],
  "_datasets": [
    {
      "name": "datasetpgnmp1",
      "title": "Dataset 1 of the Monty Python method",
      "object": "datasetpgnmp1",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3"
      ],
      "rows": 12,
      "table": true,
      "tojson": true
    },
    {
      "name": "datasetpgnmp2",
      "title": "Dataset 2 of the Monty Python method",
      "object": "datasetpgnmp2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2"
      ],
      "rows": 1210,
      "table": true,
      "tojson": true
    },
    {
      "name": "datasetpgnzig",
      "title": "Dataset of the Ziggurat method",
      "object": "datasetpgnzig",
      "class": [
        "data.frame"
      ],
      "fields": [
        "V1",
        "V2",
        "V3"
      ],
      "rows": 5,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "pgnorm-package",
      "title": "The p-Generalized Normal Distribution",
      "topics": [
        "pgnorm-package",
        "pgnorm"
      ]
    },
    {
      "page": "datasetpgnmp1",
      "title": "Dataset 1 of the Monty Python method",
      "topics": [
        "datasetpgnmp1"
      ]
    },
    {
      "page": "datasetpgnmp2",
      "title": "Dataset 2 of the Monty Python method",
      "topics": [
        "datasetpgnmp2"
      ]
    },
    {
      "page": "datasetpgnzig",
      "title": "Dataset of the Ziggurat method",
      "topics": [
        "datasetpgnzig"
      ]
    },
    {
      "page": "dpgnorm",
      "title": "A function to evaluate the p-generalized normal density",
      "topics": [
        "dpgnorm"
      ]
    },
    {
      "page": "ppgnorm",
      "title": "A function to evaluate the p-generalized normal cdf",
      "topics": [
        "ppgnorm"
      ]
    },
    {
      "page": "rpgangular",
      "title": "A random number generator for the angular distribution",
      "topics": [
        "rpgangular"
      ]
    },
    {
      "page": "rpgnorm",
      "title": "A random number generator for the p-generalized normal distribution",
      "topics": [
        "rpgnorm"
      ]
    },
    {
      "page": "rpgnorm_montypython",
      "title": "A random number generator for the p-generalized normal distribution",
      "topics": [
        "rpgnorm_montypython"
      ]
    },
    {
      "page": "rpgnorm_nardonpianca",
      "title": "A random number generator for the p-generalized normal distribution",
      "topics": [
        "rpgnorm_nardonpianca"
      ]
    },
    {
      "page": "rpgnorm_pgenpolar",
      "title": "A random number generator for the p-generalized normal distribution",
      "topics": [
        "rpgnorm_pgenpolar"
      ]
    },
    {
      "page": "rpgnorm_pgenpolarrej",
      "title": "A random number generator for the p-generalized normal distribution",
      "topics": [
        "rpgnorm_pgenpolarrej"
      ]
    },
    {
      "page": "rpgnorm_ziggurat",
      "title": "A random number generator for the p-generalized normal distribution",
      "topics": [
        "rpgnorm_ziggurat"
      ]
    },
    {
      "page": "rpgunif",
      "title": "A random number generator for the p-generalized uniform distribution",
      "topics": [
        "rpgunif"
      ]
    },
    {
      "page": "zigsetup",
      "title": "A function for setting up the Ziggurat.",
      "topics": [
        "zigsetup"
      ]
    }
  ],
  "_rundeps": [],
  "_score": 2.0569048513364727,
  "_indexed": true,
  "_nocasepkg": "pgnorm",
  "_universes": [
    "cran"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "2.0.1",
      "date": "2026-10-04T11:20:14.000Z",
      "distro": "resolute",
      "commit": "206c98bd691a5464aaa01215d5b307a80aa9ea22",
      "fileid": "https://r2.ropensci.org/e166f5199556ad43dd9ae4e6eac8659f24616332697ed2f2743f24cc46d62a80",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37198173075"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "2.0.1",
      "date": "2026-10-04T11:20:07.000Z",
      "distro": "resolute",
      "commit": "206c98bd691a5464aaa01215d5b307a80aa9ea22",
      "fileid": "https://r2.ropensci.org/9b3a41ed93aabc223f4aca797cb624e9cd5b5eae0f70e16912b5f318279d810c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37198173075"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "2.0.1",
      "date": "2026-10-04T11:20:07.000Z",
      "commit": "206c98bd691a5464aaa01215d5b307a80aa9ea22",
      "fileid": "https://r2.ropensci.org/812587753a3650f3a0bcd6332a0e9f4ae77445a9ed81b8bd92ac115c90752f72",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37198173075"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "2.0.1",
      "date": "2026-10-04T11:19:29.000Z",
      "commit": "206c98bd691a5464aaa01215d5b307a80aa9ea22",
      "fileid": "https://r2.ropensci.org/a81f20cbf55fbd7afa2ca612d5a108dec6b52e9fb26535e127b1ba454fb34739",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37198173075"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "2.0.1",
      "date": "2026-10-04T11:19:47.000Z",
      "commit": "206c98bd691a5464aaa01215d5b307a80aa9ea22",
      "fileid": "https://r2.ropensci.org/7bb48935b176d7bf51ec50acc19a22cb86a1eb0b6267cdda178d8bfe8ca28b63",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/37198173075"
    }
  ]
}