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  "Package": "fable",
  "Title": "Forecasting Models for Tidy Time Series",
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  "Description": "Provides a collection of commonly used univariate and\nmultivariate time series forecasting models including\nautomatically selected exponential smoothing (ETS) and\nautoregressive integrated moving average (ARIMA) models. These\nmodels work within the 'fable' framework provided by the\n'fabletools' package, which provides the tools to evaluate,\nvisualise, and combine models in a workflow consistent with the\ntidyverse.",
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  "License": "GPL-3",
  "URL": "https://fable.tidyverts.org, https://github.com/tidyverts/fable",
  "BugReports": "https://github.com/tidyverts/fable/issues",
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  "Repository": "https://robjhyndman.r-universe.dev",
  "Date/Publication": "2026-06-11 22:41:57 UTC",
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  "Author": "Mitchell O'Hara-Wild [aut, cre],\nRob Hyndman [aut],\nEaro Wang [aut],\nGabriel Caceres [ctb] (NNETAR implementation),\nChristoph Bergmeir [ctb] (ORCID:\n<https://orcid.org/0000-0002-3665-9021>),\nTim-Gunnar Hensel [ctb],\nTimothy Hyndman [ctb]",
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    "ETS",
    "MEAN",
    "NAIVE",
    "NNETAR",
    "RW",
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    "THETA",
    "TSLM",
    "unitroot_options",
    "VAR",
    "VARIMA",
    "VECM"
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      "title": "Estimate a AR model",
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        "AR",
        "report.AR"
      ]
    },
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      "title": "Estimate an ARFIMA model",
      "topics": [
        "ARFIMA",
        "report.fbl_ARFIMA"
      ]
    },
    {
      "page": "ARIMA",
      "title": "Estimate an ARIMA model",
      "topics": [
        "ARIMA",
        "PDQ",
        "pdq",
        "report.ARIMA"
      ]
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      "title": "Breusch-Godfrey Test",
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        "breusch_godfrey.TSLM"
      ]
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      "title": "Extract estimated states from an ETS model.",
      "topics": [
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      ]
    },
    {
      "page": "CROSTON",
      "title": "Croston's method",
      "topics": [
        "CROSTON"
      ]
    },
    {
      "page": "ETS",
      "title": "Exponential smoothing state space model",
      "topics": [
        "ETS",
        "report.ETS"
      ]
    },
    {
      "page": "fitted.AR",
      "title": "Extract fitted values from a fable model",
      "topics": [
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      ]
    },
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      "title": "Extract fitted values from a fable model",
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      "title": "Extract fitted values from a fable model",
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      ]
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      "title": "Extract fitted values from a fable model",
      "topics": [
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      "title": "Extract fitted values from a fable model",
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      ]
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      "title": "Extract fitted values from a fable model",
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      ]
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      "title": "Extract fitted values from a fable model",
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      "title": "Extract fitted values from a fable model",
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      "title": "Forecast a model from the fable package",
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    },
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      "page": "forecast.ARIMA",
      "title": "Forecast a model from the fable package",
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      "title": "Forecast a model from the fable package",
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      ]
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      "title": "Forecast a model from the fable package",
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      "title": "Forecast a model from the fable package",
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      "title": "Forecast a model from the fable package",
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      "title": "Forecast a model from the fable package",
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      "title": "Forecast a model from the fable package",
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      "title": "Generate new data from a fable model",
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      "title": "Generate new data from a fable model",
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      "page": "generate.ETS",
      "title": "Generate new data from a fable model",
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      "title": "Generate new data from a fable model",
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    {
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      "title": "Generate new data from a fable model",
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      "page": "generate.RW",
      "title": "Generate new data from a fable model",
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      "title": "Generate new data from a fable model",
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      "title": "Glance a TSLM",
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      "page": "interpolate.TSLM",
      "title": "Interpolate missing values from a fable model",
      "topics": [
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    },
    {
      "page": "IRF.ARIMA",
      "title": "Calculate impulse responses from a fable model",
      "topics": [
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      ]
    },
    {
      "page": "IRF.VAR",
      "title": "Calculate impulse responses from a fable model",
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