{
  "_id": "6abcd4b799f7aa8c6aa4c780",
  "Package": "ZIM",
  "Title": "Zero-Inflated Models for Count Time Series with Excess Zeros",
  "Version": "1.1.2",
  "Authors@R": "c(\nperson(\"Ming\", \"Yang\", role = c(\"aut\", \"cre\"), email = \"hustyangming@gmail.com\"),\nperson(\"Gideon\", \"Zamba\", role = \"aut\"),\nperson(\"Joseph\", \"Cavanaugh\", role = \"aut\")\n)",
  "Description": "Analyze count time series with excess zeros. Two types of\nstatistical models are supported: Markov regression by Yang et\nal. (2013) <doi:10.1016/j.stamet.2013.02.001> and state-space\nmodels by Yang et al. (2015) <doi:10.1177/1471082X14535530>.\nThey are also known as observation-driven and parameter-driven\nmodels respectively in the time series literature. The\nfunctions used for Markov regression or observation-driven\nmodels can also be used to fit ordinary regression models with\nindependent data under the zero-inflated Poisson (ZIP) or\nzero-inflated negative binomial (ZINB) assumption. Besides, the\npackage contains some miscellaneous functions to compute\ndensity, distribution, quantile, and generate random numbers\nfrom ZIP and ZINB distributions.",
  "URL": "https://github.com/mingstat/ZIM, https://mingstat.github.io/ZIM/",
  "BugReports": "https://github.com/mingstat/ZIM/issues",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.3",
  "VignetteBuilder": "knitr",
  "LazyData": "true",
  "Config/testthat/edition": "3",
  "Repository": "https://mingstat.r-universe.dev",
  "Date/Publication": "2026-06-02 23:29:07 UTC",
  "RemoteUrl": "https://github.com/mingstat/zim",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-09-30 08:56:06 UTC",
    "User": "root"
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  "Author": "Ming Yang [aut, cre],\nGideon Zamba [aut],\nJoseph Cavanaugh [aut]",
  "Maintainer": "Ming Yang <hustyangming@gmail.com>",
  "_user": "mingstat",
  "_type": "src",
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  "_published": "2026-09-30T09:21:59.692Z",
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    "description": "Statistician and Data Scientist\n",
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  "_assets": [
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    "extra/citation.json",
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    "extra/readme.html",
    "extra/readme.md",
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  "_realowner": "mingstat",
  "_cranurl": true,
  "_releases": [
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      "version": "1.0",
      "date": "2013-06-18"
    },
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      "date": "2014-05-08"
    },
    {
      "version": "1.0.2",
      "date": "2014-10-06"
    },
    {
      "version": "1.0.3",
      "date": "2017-02-06"
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      "date": "2018-08-28"
    },
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    "dzim.control",
    "dzim.filter",
    "dzim.fit",
    "dzim.plot",
    "dzim.sim",
    "dzim.smooth",
    "dzinb",
    "dzip",
    "pvalue",
    "pzinb",
    "pzip",
    "qzinb",
    "qzip",
    "rzinb",
    "rzip",
    "zim",
    "zim.control",
    "zim.fit"
  ],
  "_datasets": [
    {
      "name": "injury",
      "title": "Example: Injury Series from Occupational Health",
      "object": "injury",
      "class": [
        "ts"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "syph",
      "title": "Example: Syphilis Series",
      "object": "syph",
      "class": [
        "data.frame"
      ],
      "fields": [
        "year",
        "week",
        "a1",
        "a2",
        "a3",
        "a4",
        "a5",
        "a6",
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        "a43",
        "a44",
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        "a60",
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        "a67"
      ],
      "rows": 209,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ZIM-package",
      "title": "Zero-Inflated Models for Count Time Series with Excess Zeros",
      "topics": [
        "ZIM-package",
        "ZIM"
      ]
    },
    {
      "page": "bshift",
      "title": "Backshift Operator Apply the backshift operator or lag operator to a time series objective.",
      "topics": [
        "bshift"
      ]
    },
    {
      "page": "dzim",
      "title": "Fitting Dynamic Zero-Inflated Models",
      "topics": [
        "dzim"
      ]
    },
    {
      "page": "dzim.control",
      "title": "Auxiliary for Controlling DZIM Fitting",
      "topics": [
        "dzim.control"
      ]
    },
    {
      "page": "dzim.filter",
      "title": "Particle Filtering for DZIM",
      "topics": [
        "dzim.filter"
      ]
    },
    {
      "page": "dzim.fit",
      "title": "Fitter Function for Dynamic Zero-Inflated Models",
      "topics": [
        "dzim.fit"
      ]
    },
    {
      "page": "dzim.plot",
      "title": "Trace Plots from DZIM",
      "topics": [
        "dzim.plot"
      ]
    },
    {
      "page": "dzim.sim",
      "title": "Simulate Data from DZIM",
      "topics": [
        "dzim.sim"
      ]
    },
    {
      "page": "dzim.smooth",
      "title": "Particle Smoothing for DZIM",
      "topics": [
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      ]
    },
    {
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      "title": "Example: Injury Series from Occupational Health",
      "topics": [
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      ]
    },
    {
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      "title": "Function to Compute P-value.",
      "topics": [
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      "title": "Example: Syphilis Series",
      "topics": [
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    },
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      "title": "Fitting Zero-Inflated Models",
      "topics": [
        "zim"
      ]
    },
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      "title": "Auxiliary for Controlling ZIM Fitting",
      "topics": [
        "zim.control"
      ]
    },
    {
      "page": "zim.fit",
      "title": "Fitter Function for Zero-Inflated Models",
      "topics": [
        "zim.fit"
      ]
    },
    {
      "page": "dpqr-zinb",
      "title": "The Zero-Inflated Negative Binomial Distribution",
      "topics": [
        "dzinb",
        "pzinb",
        "qzinb",
        "rzinb",
        "ZINB"
      ]
    },
    {
      "page": "dpqr-zip",
      "title": "The Zero-Inflated Poisson Distribution",
      "topics": [
        "dzip",
        "pzip",
        "qzip",
        "rzip",
        "ZIP"
      ]
    }
  ],
  "_readme": "https://github.com/mingstat/zim/raw/HEAD/README.md",
  "_rundeps": [
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        "ZINB Autoregression",
        "Parameter-Driven Models",
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      "created": "2018-09-03 09:38:18",
      "modified": "2025-04-12 04:06:35",
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