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  "Description": "The twoStepsBenchmark() and threeRuleSmooth() functions\nallow you to disaggregate a low-frequency time series with\nhigher frequency time series, using the French National\nAccounts methodology. The aggregated sum of the resulting time\nseries is strictly equal to the low-frequency time series\nwithin the benchmarking window. Typically, the low-frequency\ntime series is an annual one, unknown for the last year, and\nthe high frequency one is either quarterly or monthly. See\n\"Methodology of quarterly national accounts\", Insee Méthodes\nN°126, by Insee (2012, ISBN:978-2-11-068613-8,\n<https://www.insee.fr/en/information/2579410>).",
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    "model.list",
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    "outliers",
    "prais",
    "rePort",
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    "reUseBenchmark",
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    "se",
    "show",
    "smoothed.part",
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    "threeRuleSmooth",
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      "table": false,
      "tojson": true
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      "title": "Smooth a time series",
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      "title": "Distance computation for disaggregations",
      "topics": [
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      ]
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      "title": "Comparing a disaggregation with the high-frequency input",
      "topics": [
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