{
  "_id": "6a12c4e0acfb0bcc41d1f33d",
  "Package": "RobPer",
  "Type": "Package",
  "Title": "Robust Periodogram and Periodicity Detection Methods",
  "Version": "1.2.3",
  "Date": "2022-06-12",
  "Authors@R": "c(person(\"Anita M.\", \"Thieler\", role = \"aut\"), person(\"Jonathan\", \"Rathjens\", role = c(\"aut\", \"cre\"), email = \"jonathan.rathjens@tu-dortmund.de\"), person(\"Roland\", \"Fried\", role = \"aut\"), person(\"Brenton R.\", \"Clarke\", role = \"ctb\", comment = \"function betaCvMfit()\"), person(\"Uwe\", \"Ligges\", role = \"ctb\", comment = \"function TK95()\"), person(\"Matias\", \"Salibian-Barrera\", role = \"ctb\", comment = \"functions FastS() and FastTau()\"), person(\"Gert\", \"Willems\", role = \"ctb\", comment = \"function FastTau()\"), person(\"Victor\", \"Yohai\", role = \"ctb\", comment = \"function FastS()\"))",
  "Description": "Calculates periodograms based on (robustly) fitting\nperiodic functions to light curves (irregularly observed time\nseries, possibly with measurement accuracies, occurring in\nastroparticle physics). Three main functions are included:\nRobPer() calculates the periodogram. Outlying periodogram bars\n(indicating a period) can be detected with betaCvMfit().\nArtificial light curves can be generated using the function\ntsgen(). For more details see the corresponding article:\nThieler, Fried and Rathjens (2016), Journal of Statistical\nSoftware 69(9), 1-36, <doi:10.18637/jss.v069.i09>.",
  "License": "GPL-3",
  "LazyData": "true",
  "Copyright": "The data in star_groj0422.32 have been kindly provided by\nthe NASA. The data in Mrk421 and Mrk501 have been kindly\nprovided by the Deutsches Elektronen-Synchrotron. See the\nrespective documentation.",
  "Author": "Anita M. Thieler [aut], Jonathan Rathjens [aut, cre], Roland\nFried [aut], Brenton R. Clarke [ctb] (function betaCvMfit()),\nUwe Ligges [ctb] (function TK95()), Matias Salibian-Barrera\n[ctb] (functions FastS() and FastTau()), Gert Willems [ctb]\n(function FastTau()), Victor Yohai [ctb] (function FastS())",
  "Maintainer": "Jonathan Rathjens <jonathan.rathjens@tu-dortmund.de>",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-24 09:26:02 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2022-06-12 16:30:02 UTC",
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    "author": "Jonathan Rathjens <jonathan.rathjens@tu-dortmund.de>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.2.3\n",
    "time": 1655051402
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  "_maintainer": {
    "name": "Jonathan Rathjens",
    "email": "jonathan.rathjens@tu-dortmund.de"
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  "_registered": true,
  "_dependencies": [
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    },
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  "_usedby": 1,
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  "_tags": [],
  "_stars": 3,
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    "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/RobPer"
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  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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    "manual.pdf"
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  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
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      "version": "1.0",
      "date": "2013-10-01"
    },
    {
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      "date": "2014-06-24"
    },
    {
      "version": "1.2",
      "date": "2014-10-03"
    },
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      "date": "2015-03-02"
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      "date": "2016-03-27"
    },
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      "date": "2022-06-12"
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  "_exports": [
    "betaCvMfit",
    "disturber",
    "FastS",
    "FastTau",
    "lc_noise",
    "RobPer",
    "sampler",
    "signalgen",
    "TK95",
    "TK95_uneq",
    "tsgen",
    "Xgen"
  ],
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      "name": "Mrk421",
      "title": "Data: Light curve from Mrk 421",
      "object": "Mrk421",
      "class": [
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        "V2",
        "V3"
      ],
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      "table": true,
      "tojson": true
    },
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      "title": "Data: Light curve from Mrk 501",
      "object": "Mrk501",
      "class": [
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      ],
      "fields": [
        "V1",
        "V2",
        "V3"
      ],
      "rows": 210,
      "table": true,
      "tojson": true
    },
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      "name": "star_groj0422.32",
      "title": "Data: Light curve from GROJ0422+32",
      "object": "star_groj0422.32",
      "class": [
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        "array"
      ],
      "fields": {},
      "rows": 729,
      "table": true,
      "tojson": true
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  "_help": [
    {
      "page": "RobPer-package",
      "title": "The RobPer-package",
      "topics": [
        "RobPer-package"
      ]
    },
    {
      "page": "betaCvMfit",
      "title": "Robust fit of a Beta distribution using CvM distance minimization",
      "topics": [
        "betaCvMfit"
      ]
    },
    {
      "page": "disturber",
      "title": "Disturbing light curve data",
      "topics": [
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      ]
    },
    {
      "page": "FastS",
      "title": "S-Regression using the Fast-S-Algorithm",
      "topics": [
        "FastS"
      ]
    },
    {
      "page": "FastTau",
      "title": "Tau-Regression using the Fast-tau-Algorithm",
      "topics": [
        "FastTau"
      ]
    },
    {
      "page": "lc_noise",
      "title": "Noise and measurement accuracy generator for light curves",
      "topics": [
        "lc_noise"
      ]
    },
    {
      "page": "Mrk421",
      "title": "Data: Light curve from Mrk 421",
      "topics": [
        "Mrk421"
      ]
    },
    {
      "page": "Mrk501",
      "title": "Data: Light curve from Mrk 501",
      "topics": [
        "Mrk501"
      ]
    },
    {
      "page": "RobPer",
      "title": "Periodogram based on (robustly) fitting a periodic function to a light curve",
      "topics": [
        "RobPer"
      ]
    },
    {
      "page": "sampler",
      "title": "Generator for irregularly sampled observation times",
      "topics": [
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      ]
    },
    {
      "page": "signalgen",
      "title": "Generator for periodic signal in a light curve",
      "topics": [
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      ]
    },
    {
      "page": "star_groj0422.32",
      "title": "Data: Light curve from GROJ0422+32",
      "topics": [
        "star_groj0422.32"
      ]
    },
    {
      "page": "TK95",
      "title": "Power law noise generator",
      "topics": [
        "TK95"
      ]
    },
    {
      "page": "TK95_uneq",
      "title": "Power law noise generator for unequally sampled observation times",
      "topics": [
        "TK95_uneq"
      ]
    },
    {
      "page": "tsgen",
      "title": "Artificial light curve generator",
      "topics": [
        "tsgen"
      ]
    },
    {
      "page": "Xgen",
      "title": "Designmatrix generator",
      "topics": [
        "Xgen"
      ]
    }
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      "created": "2016-03-27 17:42:26",
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