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  "Package": "tsintermittent",
  "Type": "Package",
  "Title": "Intermittent Time Series Forecasting",
  "Version": "1.10",
  "Date": "2022-07-15",
  "Authors@R": "c(\nperson(\"Nikolaos\", \"Kourentzes\", email = \"nikolaos@kourentzes.com\", role = c(\"cre\",\"aut\"), comment = c(ORCID = \"0000-0003-0211-5218\")),\nperson(\"Fotios\", \"Petropoulos\", email = \"F.Petropoulos@bath.ac.uk\", role = \"ctb\", comment = c(ORCID = \"0000-0003-3039-4955\")))",
  "Description": "Time series methods for intermittent demand forecasting.\nIncludes Croston's method and its variants (Moving Average,\nSBA), and the TSB method. Users can obtain optimal parameters\non a variety of loss functions, or use fixed ones (Kourenztes\n(2014) <doi:10.1016/j.ijpe.2014.06.007>). Intermittent time\nseries classification methods and iMAPA that uses multiple\ntemporal aggregation levels are also provided (Petropoulos &\nKourenztes (2015) <doi:10.1057/jors.2014.62>).",
  "LazyData": "yes",
  "License": "GPL (>= 2)",
  "URL": "https://kourentzes.com/forecasting/2014/06/23/intermittent-demand-forecasting-package-for-r/",
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  "Repository": "https://trnnick.r-universe.dev",
  "Date/Publication": "2022-07-17 11:12:39 UTC",
  "RemoteUrl": "https://github.com/trnnick/tsintermittent",
  "RemoteRef": "HEAD",
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    "User": "root"
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  "Author": "Nikolaos Kourentzes [cre, aut] (ORCID:\n<https://orcid.org/0000-0003-0211-5218>),\nFotios Petropoulos [ctb] (ORCID:\n<https://orcid.org/0000-0003-3039-4955>)",
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  "_assets": [
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    "extra/citation.json",
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      "date": "2014-06-23"
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      "title": "Example intermittent demand series - 'ts.data1'",
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      ],
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      "title": "Example intermittent demand series - 'ts.data2'",
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      "page": "crost",
      "title": "Croston's method and variants",
      "topics": [
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      ]
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      "title": "Croston's decomposition",
      "topics": [
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      ]
    },
    {
      "page": "crost.ma",
      "title": "Moving average with Croston's method decomposition",
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      ]
    },
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      "page": "data.frc",
      "title": "Wrapper to forecasts data.frames with a single call",
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      ]
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      "page": "idclass",
      "title": "Time series categorisation for intermittent demand",
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      "page": "imapa",
      "title": "MAPA for intermittent demand data",
      "topics": [
        "imapa"
      ]
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      "title": "Simple exponential smoothing",
      "topics": [
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      ]
    },
    {
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      "title": "Simulator for Intermittent Demand Series",
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      ]
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      "title": "Example intermittent demand series - 'ts.data1'",
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      "title": "Example intermittent demand series - 'ts.data2'",
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      "title": "TSB (Teunter-Syntetos-Babai) method",
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