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  "Package": "tsrobprep",
  "Title": "Robust Preprocessing of Time Series Data",
  "Version": "0.3.2",
  "Date": "2022-02-21",
  "Authors@R": "c(\nperson(given = \"Michał\",\nfamily = \"Narajewski\",\nrole = c(\"aut\", \"cre\"),\nemail = \"michal.narajewski@uni-due.de\",\ncomment = c(ORCID = \"https://orcid.org/0000-0002-3115-0162\")),\nperson(given = \"Jens\",\nfamily = \"Kley-Holsteg\",\nrole = \"aut\",\nemail = \"jens.kley-holsteg@hs-ruhrwest.de\"),\nperson(given = \"Florian\",\nfamily = \"Ziel\",\nrole = \"aut\",\nemail = \"florian.ziel@uni-due.de\",\ncomment = c(ORCID = \"https://orcid.org/0000-0002-2974-2660\")))",
  "Description": "Methods for handling the missing values outliers are\nintroduced in this package. The recognized missing values and\noutliers are replaced using a model-based approach. The model\nmay consist of both autoregressive components and external\nregressors. The methods work robust and efficient, and they are\nfully tunable. The primary motivation for writing the package\nwas preprocessing of the energy systems data, e.g. power plant\nproduction time series, but the package could be used with any\ntime series data. For details, see Narajewski et al. (2021)\n<doi:10.1016/j.softx.2021.100809>.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "Author": "Michał Narajewski [aut, cre]\n(<https://orcid.org/0000-0002-3115-0162>), Jens Kley-Holsteg\n[aut], Florian Ziel [aut]\n(<https://orcid.org/0000-0002-2974-2660>)",
  "Maintainer": "Michał Narajewski <michal.narajewski@uni-due.de>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2022-02-22 09:30:01 UTC",
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