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  "Title": "Robust Estimation of the ACF from the M-Periodogram",
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  "Author": "Higor Cotta, Valderio Reisen, Pascal Bondon and Céline\nLévy-Leduc",
  "Maintainer": "Higor Cotta <cotta.higor@gmail.com>",
  "Description": "Non-robust and robust computations of the sample\nautocovariance (ACOVF) and sample autocorrelation functions\n(ACF) of univariate and multivariate processes. The methodology\nconsists in reversing the diagonalization procedure involving\nthe periodogram or the cross-periodogram and the Fourier\ntransform vectors, and, thus, obtaining the ACOVF or the ACF as\ndiscussed in Fuller (1995) <doi:10.1002/9780470316917>. The\nrobust version is obtained by fitting robust M-regressors to\nobtain the M-periodogram or M-cross-periodogram as discussed in\nReisen et al. (2017) <doi:10.1016/j.jspi.2017.02.008>.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "RoxygenNote": "6.1.1",
  "Repository": "https://rogih.r-universe.dev",
  "Date/Publication": "2019-07-19 18:10:42 UTC",
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    "extra/citation.html",
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    {
      "page": "CovCorMPer",
      "title": "Robust covariance or correlation matrix from the MPer-ACF",
      "topics": [
        "CovCorMPer"
      ]
    },
    {
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      "title": "Covariance or correlation matrix from the Per-ACF",
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      "title": "Cross-periodogram",
      "topics": [
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      ]
    },
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      "title": "Robust M-cross-periodogram",
      "topics": [
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      ]
    },
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      "page": "MPerACF",
      "title": "Robust autocorrelation or autocovariance function estimation from the robust M-periodogram",
      "topics": [
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      ]
    },
    {
      "page": "MPerioReg",
      "title": "Robust M-periodogram",
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        "MPerioReg"
      ]
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    {
      "page": "PerACF",
      "title": "Autocorrelation or autocovariance function estimation from the periodogram",
      "topics": [
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      ]
    },
    {
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      "title": "Periodogram",
      "topics": [
        "PerioReg"
      ]
    },
    {
      "page": "plot.robacf",
      "title": "Plot Robust Autocovariance and Robust Autocorrelation Functions",
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      ]
    }
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