{
  "_id": "6a1067d9acfb0bcc41ca944c",
  "Package": "tscount",
  "Type": "Package",
  "Title": "Analysis of Count Time Series",
  "Version": "1.4.4",
  "Date": "2023-05-10",
  "Authors@R": "c(\nperson(\"Tobias\", \"Liboschik\", role=c(\"aut\", \"cre\"), email=\"liboschik@statistik.tu-dortmund.de\"),\nperson(\"Roland\", \"Fried\", role=c(\"aut\"), email=\"fried@statistik.tu-dortmund.de\"),\nperson(\"Konstantinos\", \"Fokianos\", role=c(\"aut\"), email=\"fokianos@ucy.ac.cy\"),\nperson(\"Philipp\", \"Probst\", role=c(\"aut\"), email=\"philipp.probst@tu-dortmund.de\"),\nperson(\"Jonathan\", \"Rathjens\", role=c(\"ctb\"), email=\"jonathan.rathjens@tu-dortmund.de\"),\nperson(\"Nicolò\", \"Rubattu\", role=c(\"ctb\"), email=\"nicolo.rubattu@idsia.ch\"))",
  "Description": "Likelihood-based methods for model fitting and assessment,\nprediction and intervention analysis of count time series\nfollowing generalized linear models are provided, see Liboschik\net al. (2017) <doi:10.18637/jss.v082.i05>. Models with the\nidentity and with the logarithmic link function are allowed.\nThe conditional distribution can be Poisson or Negative\nBinomial.",
  "License": "GPL-2 | GPL-3",
  "URL": "http://tscount.r-forge.r-project.org",
  "ByteCompile": "true",
  "NeedsCompilation": "no",
  "LazyData": "true",
  "Encoding": "UTF-8",
  "Repository": "https://r-forge.r-universe.dev",
  "Date/Publication": "2023-05-10 12:56:11 UTC",
  "RemoteUrl": "https://github.com/r-forge/tscount",
  "RemoteRef": "HEAD",
  "RemoteSha": "d4774dc5aa905ab969bf5d51faafaf51c0a3a431",
  "RemoteSubdir": "pkg",
  "Packaged": {
    "Date": "2026-05-08 05:22:22 UTC",
    "User": "root"
  },
  "Author": "Tobias Liboschik [aut, cre],\nRoland Fried [aut],\nKonstantinos Fokianos [aut],\nPhilipp Probst [aut],\nJonathan Rathjens [ctb],\nNicolò Rubattu [ctb]",
  "Maintainer": "Tobias Liboschik <liboschik@statistik.tu-dortmund.de>",
  "MD5sum": "f8c848f9e8e781516da404d0e31e5cd9",
  "_user": "r-forge",
  "_type": "src",
  "_file": "tscount_1.4.4.tar.gz",
  "_fileid": "c4a07c913d97dd0cc9e3d96eb3ebd13e4a442062398f056e8f24aac64a32abe3",
  "_filesize": 2972084,
  "_sha256": "c4a07c913d97dd0cc9e3d96eb3ebd13e4a442062398f056e8f24aac64a32abe3",
  "_created": "2026-05-08T05:22:22.000Z",
  "_published": "2026-05-22T14:27:37.493Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 77399805218,
      "time": 141,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "6872415658"
    },
    {
      "job": 77399805099,
      "time": 131,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6872413934"
    },
    {
      "job": 77399805061,
      "time": 123,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "6872411576"
    },
    {
      "job": 77399805091,
      "time": 130,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6872412649"
    },
    {
      "job": 77399804200,
      "time": 255,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6872387622"
    },
    {
      "job": 77399804400,
      "time": 100,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7162935613"
    },
    {
      "job": 77399804719,
      "time": 116,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "6872409999"
    },
    {
      "job": 77399804740,
      "time": 94,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "6872406247"
    },
    {
      "job": 77399804855,
      "time": 126,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "6872411993"
    }
  ],
  "_buildurl": "https://github.com/r-universe/r-forge/actions/runs/25538304104",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/r-forge/tscount",
  "_commit": {
    "id": "d4774dc5aa905ab969bf5d51faafaf51c0a3a431",
    "author": "nicorbtt (MSc ) <iamnicown@gmail.com>",
    "committer": "nicorbtt (MSc ) <iamnicown@gmail.com>",
    "message": "Added to the return values of the predict function the bootstrap samples used for computation of prediction intervals\n\ngit-svn-id: svn://svn.r-forge.r-project.org/svnroot/tscount@93 edb9625f-4e0d-4859-8d74-9fd3b1da38cb\n",
    "time": 1683723371
  },
  "_maintainer": {
    "name": "Tobias Liboschik",
    "email": "liboschik@statistik.tu-dortmund.de"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "parallel",
      "role": "Imports"
    },
    {
      "package": "ltsa",
      "role": "Imports"
    },
    {
      "package": "Matrix",
      "role": "Suggests"
    },
    {
      "package": "xtable",
      "role": "Suggests"
    },
    {
      "package": "gamlss.data",
      "role": "Suggests"
    },
    {
      "package": "surveillance",
      "role": "Suggests"
    }
  ],
  "_owner": "r-forge",
  "_selfowned": true,
  "_usedby": 1,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "nicorbtt",
      "count": 1,
      "uuid": 61237332
    },
    {
      "user": "theussl",
      "count": 1,
      "uuid": 22165873
    }
  ],
  "_userbio": {
    "uuid": 75573726,
    "type": "organization",
    "name": " R-Forge",
    "description": "git-svn mirrors from R-Forge"
  },
  "_downloads": {
    "count": 2009,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/tscount"
  },
  "_mentions": 7,
  "_devurl": "https://github.com/r-forge/tscount",
  "_searchresults": 120,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/tscount.html",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/r-forge/tscount",
  "_realowner": "r-forge",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.0.0",
      "date": "2015-02-11"
    },
    {
      "version": "1.3.0",
      "date": "2016-05-13"
    },
    {
      "version": "1.4.0",
      "date": "2017-09-30"
    },
    {
      "version": "1.4.1",
      "date": "2017-11-25"
    },
    {
      "version": "1.4.2",
      "date": "2020-03-02"
    },
    {
      "version": "1.4.3",
      "date": "2020-09-08"
    }
  ],
  "_exports": [
    "ardistr",
    "checkdistr",
    "ddistr",
    "ingarch.acf",
    "ingarch.mean",
    "ingarch.var",
    "interv_covariate",
    "interv_detect",
    "interv_multiple",
    "interv_test",
    "invertinfo",
    "marcal",
    "pdistr",
    "pit",
    "qdistr",
    "QIC",
    "rdistr",
    "scoring",
    "sddistr",
    "se",
    "tsglm",
    "tsglm.meanfit",
    "tsglm.sim"
  ],
  "_datasets": [
    {
      "name": "campy",
      "title": "Campylobacter Infections Time Series",
      "object": "campy",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "ecoli",
      "title": "E. coli Infections Time Series",
      "object": "ecoli",
      "class": [
        "data.frame"
      ],
      "fields": [
        "year",
        "week",
        "cases"
      ],
      "rows": 646,
      "table": true,
      "tojson": true
    },
    {
      "name": "ehec",
      "title": "EHEC Infections Time Series",
      "object": "ehec",
      "class": [
        "data.frame"
      ],
      "fields": [
        "year",
        "week",
        "cases"
      ],
      "rows": 646,
      "table": true,
      "tojson": true
    },
    {
      "name": "influenza",
      "title": "Influenza Infections Time Series",
      "object": "influenza",
      "class": [
        "data.frame"
      ],
      "fields": [
        "year",
        "week",
        "cases"
      ],
      "rows": 646,
      "table": true,
      "tojson": true
    },
    {
      "name": "measles",
      "title": "Measles Infections Time Series",
      "object": "measles",
      "class": [
        "data.frame"
      ],
      "fields": [
        "year",
        "week",
        "cases"
      ],
      "rows": 646,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "tscount-package",
      "title": "Analysis of Count Time Series",
      "topics": [
        "tscount-package",
        "tscount"
      ]
    },
    {
      "page": "campy",
      "title": "Campylobacter Infections Time Series",
      "topics": [
        "campy"
      ]
    },
    {
      "page": "countdistr",
      "title": "Count Data Distributions",
      "topics": [
        "ardistr",
        "checkdistr",
        "countdistr",
        "ddistr",
        "pdistr",
        "qdistr",
        "rdistr",
        "sddistr"
      ]
    },
    {
      "page": "ecoli",
      "title": "E. coli Infections Time Series",
      "topics": [
        "ecoli"
      ]
    },
    {
      "page": "ehec",
      "title": "EHEC Infections Time Series",
      "topics": [
        "ehec"
      ]
    },
    {
      "page": "influenza",
      "title": "Influenza Infections Time Series",
      "topics": [
        "influenza"
      ]
    },
    {
      "page": "ingarch.analytical",
      "title": "Analytical Mean, Variance and Autocorrelation of an INGARCH Process",
      "topics": [
        "ingarch.acf",
        "ingarch.analytical",
        "ingarch.mean",
        "ingarch.var"
      ]
    },
    {
      "page": "interv_covariate",
      "title": "Describing Intervention Effects for Time Series with Deterministic Covariates",
      "topics": [
        "interv_covariate"
      ]
    },
    {
      "page": "interv_detect.tsglm",
      "title": "Detecting an Intervention in Count Time Series Following Generalised Linear Models",
      "topics": [
        "interv_detect",
        "interv_detect.tsglm"
      ]
    },
    {
      "page": "interv_multiple.tsglm",
      "title": "Detecting Multiple Interventions in Count Time Series Following Generalised Linear Models",
      "topics": [
        "interv_multiple",
        "interv_multiple.tsglm"
      ]
    },
    {
      "page": "interv_test.tsglm",
      "title": "Testing for Interventions in Count Time Series Following Generalised Linear Models",
      "topics": [
        "interv_test",
        "interv_test.tsglm"
      ]
    },
    {
      "page": "invertinfo",
      "title": "Compute a Covariance Matrix from a Fisher Information Matrix",
      "topics": [
        "invertinfo"
      ]
    },
    {
      "page": "marcal",
      "title": "Predictive Model Assessment with a Marginal Calibration Plot",
      "topics": [
        "marcal",
        "marcal.default",
        "marcal.tsglm"
      ]
    },
    {
      "page": "measles",
      "title": "Measles Infections Time Series",
      "topics": [
        "measles"
      ]
    },
    {
      "page": "pit",
      "title": "Predictive Model Assessment with a Probability Integral Transform Histogram",
      "topics": [
        "pit",
        "pit.default",
        "pit.tsglm"
      ]
    },
    {
      "page": "plot.interv_detect",
      "title": "Plot Test Statistic of Intervention Detection Procedure for Count Time Series Following Generalised Linear Models",
      "topics": [
        "plot.interv_detect"
      ]
    },
    {
      "page": "plot.interv_multiple",
      "title": "Plot for Iterative Intervention Detection Procedure for Count Time Series following Generalised Linear Models",
      "topics": [
        "plot.interv_multiple"
      ]
    },
    {
      "page": "plot.tsglm",
      "title": "Diagnostic Plots for a Fitted GLM-type Model for Time Series of Counts",
      "topics": [
        "plot.tsglm"
      ]
    },
    {
      "page": "predict.tsglm",
      "title": "Predicts Method for Time Series of Counts Following Generalised Linear Models",
      "topics": [
        "predict.tsglm"
      ]
    },
    {
      "page": "QIC",
      "title": "Quasi Information Criterion of a Generalised Linear Model for Time Series of Counts",
      "topics": [
        "QIC",
        "QIC.tsglm"
      ]
    },
    {
      "page": "residuals.tsglm",
      "title": "Residuals of a Generalised Linear Model for Time Series of Counts",
      "topics": [
        "residuals.tsglm"
      ]
    },
    {
      "page": "scoring",
      "title": "Predictive Model Assessment with Proper Scoring Rules",
      "topics": [
        "scoring",
        "scoring.default",
        "scoring.tsglm"
      ]
    },
    {
      "page": "se.tsglm",
      "title": "Standard Errors of a Fitted Generalised Linear Model for Time Series of Counts",
      "topics": [
        "se",
        "se.tsglm"
      ]
    },
    {
      "page": "summary.tsglm",
      "title": "Summarising Fits of Count Time Series following Generalised Linear Models",
      "topics": [
        "print.summary.tsglm",
        "summary.tsglm"
      ]
    },
    {
      "page": "tsglm",
      "title": "Count Time Series Following Generalised Linear Models",
      "topics": [
        "logLik.tsglm",
        "print.tsglm",
        "tsglm",
        "tsglm.meanfit",
        "vcov.tsglm"
      ]
    },
    {
      "page": "tsglm.sim",
      "title": "Simulate a Time Series Following a Generalised Linear Model",
      "topics": [
        "tsglm.sim"
      ]
    }
  ],
  "_rundeps": [
    "ltsa"
  ],
  "_vignettes": [
    {
      "source": "tsglm.Rnw",
      "filename": "tsglm.pdf",
      "title": "tscount: An R Package for Analysis of Count Time Series Following Generalized Linear Models",
      "engine": "utils::Sweave",
      "headings": [],
      "created": "2015-02-06 16:46:31",
      "modified": "2020-09-07 20:19:04",
      "commits": 16
    }
  ],
  "_score": 5.704380477529794,
  "_indexed": true,
  "_nocasepkg": "tscount",
  "_universes": [
    "r-forge"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.4.4",
      "date": "2026-05-08T05:24:30.000Z",
      "distro": "noble",
      "commit": "d4774dc5aa905ab969bf5d51faafaf51c0a3a431",
      "fileid": "12493f5ccf91cafad203e5c264aab914d79106a6134915fc0e85854f02074970",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25538304104"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.4.4",
      "date": "2026-05-08T05:24:25.000Z",
      "distro": "noble",
      "commit": "d4774dc5aa905ab969bf5d51faafaf51c0a3a431",
      "fileid": "e15457db74da46311ba4be1373ea42415048a69293a17d44dfaeea129b2d9cad",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25538304104"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.4.4",
      "date": "2026-05-08T05:24:20.000Z",
      "commit": "d4774dc5aa905ab969bf5d51faafaf51c0a3a431",
      "fileid": "4f906db309a6f654af859a48f7392c7c56eeafe51fd164dbd942352825951c5d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25538304104"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.4.4",
      "date": "2026-05-08T05:24:24.000Z",
      "commit": "d4774dc5aa905ab969bf5d51faafaf51c0a3a431",
      "fileid": "9197d97b69348babda4ca8623b719b09f440841d6826078b01d7a24ee2181925",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25538304104"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.4.4",
      "date": "2026-05-08T05:23:48.000Z",
      "commit": "d4774dc5aa905ab969bf5d51faafaf51c0a3a431",
      "fileid": "184b5be320bf82d5c21f718c0077b5ff361ee913792be09395bc4aa1ac4b640f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25538304104"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.4.4",
      "date": "2026-05-08T05:23:34.000Z",
      "commit": "d4774dc5aa905ab969bf5d51faafaf51c0a3a431",
      "fileid": "5fa3aff51f8c36076516044417323ef82315217d966d60b831e41bb720cc1619",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25538304104"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.4.4",
      "date": "2026-05-08T05:24:08.000Z",
      "commit": "d4774dc5aa905ab969bf5d51faafaf51c0a3a431",
      "fileid": "62e1d0fa6f64d0f96b5196808e47080172417a294da7e8113a331da128b55bad",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25538304104"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.4.4",
      "date": "2026-05-22T14:27:21.000Z",
      "commit": "d4774dc5aa905ab969bf5d51faafaf51c0a3a431",
      "fileid": "5d11631300818352a031e233df948b1d56ce92f16050a15dcd9c6a02775519d1",
      "status": "success",
      "buildurl": "https://github.com/r-universe/r-forge/actions/runs/25538304104"
    }
  ]
}