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  "Date": "2026-05-04",
  "Title": "Periodic Autoregressive Time Series Models",
  "Authors@R": "c(person(given = \"Javier\",\nfamily = \"Lopez-de-Lacalle\",\nrole = c(\"aut\", \"cph\"),\nemail = \"javlacalle@yahoo.es\"),\nperson(given = \"Matthieu\",\nfamily = \"Stigler\",\nrole = \"cre\",\nemail = \"Matthieu.Stigler@gmail.com\",\ncomment = c(ORCID = \"0000-0002-6802-4290\")))",
  "Description": "Basic functions to fit and predict periodic autoregressive\ntime series models. These models are discussed in the book P.H.\nFranses (1996) \"Periodicity and Stochastic Trends in Economic\nTime Series\", Oxford University Press. Data set analyzed in\nthat book is also provided. NOTE: the package was orphaned\nduring several years. It is now only maintained, but no major\nenhancements are expected, and the maintainer cannot provide\nany support.",
  "License": "GPL-2",
  "URL": "https://github.com/MatthieuStigler/partsm",
  "Repository": "https://matthieustigler.r-universe.dev",
  "Date/Publication": "2026-05-04 13:49:38 UTC",
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  "Packaged": {
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    "User": "root"
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  "Author": "Javier Lopez-de-Lacalle [aut, cph],\nMatthieu Stigler [cre] (ORCID: <https://orcid.org/0000-0002-6802-4290>)",
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    "predictpiar",
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      "title": "Autocorrelation function for several transformations of the original data",
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    },
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      "title": "Fit an Autoregressive or Periodic Autoregressive Model",
      "topics": [
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    {
      "page": "fit.partsm-class",
      "title": "fit.partsm Class",
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      "topics": [
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    },
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      "topics": [
        "Fpar.test"
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      "topics": [
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      "title": "MVPIAR Class",
      "topics": [
        "MVPIAR-class"
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      "topics": [
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        "PAR.MVrepr,fit.partsm-method",
        "PAR.MVrepr,fit.piartsm-method",
        "PAR.MVrepr-methods"
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      "topics": [
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    },
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      "title": "Predictions for a Restricted Periodic Autoregressive Model",
      "topics": [
        "predictpiar"
      ]
    },
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      "page": "show-methods",
      "title": "Methods for Function 'show' in Package 'partsm'",
      "topics": [
        "show,ANY-method",
        "show,classRepresentation-method",
        "show,fit.partsm-method",
        "show,fit.piartsm-method",
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        "summary,fit.partsm-method",
        "summary,fit.piartsm-method",
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