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  "Package": "mFilter",
  "Title": "Miscellaneous Time Series Filters",
  "Date": "2019-07-04",
  "Version": "0.1-6",
  "Author": "Mehmet Balcilar <mehmet@mbalcilar.net>",
  "Description": "The mFilter package implements several time series filters\nuseful for smoothing and extracting trend and cyclical\ncomponents of a time series. The routines are commonly used in\neconomics and finance, however they should also be interest to\nother areas. Currently, Christiano-Fitzgerald, Baxter-King,\nHodrick-Prescott, Butterworth, and trigonometric regression\nfilters are included in the package.",
  "Maintainer": "Mehmet Balcilar <mehmet@mbalcilar.net>",
  "License": "GPL (>= 2)",
  "URL": "http://www.mbalcilar.net",
  "Encoding": "UTF-8",
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  "Repository": "https://mbalcilar.r-universe.dev",
  "Date/Publication": "2022-12-17 10:32:40 UTC",
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    "butterworth-filter",
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    "mFilter",
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      "title": "US Quarterly Unemployment Series",
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      "title": "Getting started with the mFilter package",
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      "title": "Butterworth filter of a time series",
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      "title": "Hodrick-Prescott filter of a time series",
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      "title": "Decomposition of a time series into trend and cyclical components using various filters",
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        "mFilter.ts"
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      "title": "Methods for mFilter objects",
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        "mFilter-methods",
        "plot.mFilter",
        "print.mFilter",
        "residuals.mFilter",
        "summary.mFilter"
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