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  "Package": "CircNNTSRmult",
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  "Title": "Multivariate Circular Data using MNNTS Models",
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  "Date": "2023-09-09",
  "Authors@R": "c(person(given=\"Juan Jose\",family=\"Fernandez-Duran\",email=\"jfdez@itam.mx\",role=c(\"aut\")),person(given=\"Maria Mercedes\",family=\"Gregorio-Dominguez\",email=\"mercedes@itam.mx\",role=c(\"aut\",\"cre\")))",
  "Description": "A collection of utilities for the statistical analysis of\nmultivariate circular data using distributions based on\nMultivariate Nonnegative Trigonometric Sums (MNNTS). The\npackage includes functions for calculation of densities and\ndistributions, for the estimation of parameters, and more.",
  "License": "GPL (>= 2)",
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  "Packaged": {
    "Date": "2026-05-31 10:03:53 UTC",
    "User": "root"
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  "Author": "Juan Jose Fernandez-Duran [aut], Maria Mercedes\nGregorio-Dominguez [aut, cre]",
  "Maintainer": "Maria Mercedes Gregorio-Dominguez <mercedes@itam.mx>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2023-09-12 10:32:59 UTC",
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    {
      "page": "CircNNTSRmult-package",
      "title": "Multivariate Circular Data using MNNTS Models",
      "topics": [
        "CircNNTSRmult-package",
        "CircNNTSRmult"
      ]
    },
    {
      "page": "EURUSDGBPBTCtimesminmax",
      "title": "Minimun and Maximun daily exchange rates",
      "topics": [
        "EURUSDGBPBTCtimesminmax"
      ]
    },
    {
      "page": "mnntestimationresultantvector",
      "title": "c Parameter Vector Estimate",
      "topics": [
        "mnntestimationresultantvector"
      ]
    },
    {
      "page": "mnntscharacteristicfunction",
      "title": "Characteristic Function of an MNNTS Density",
      "topics": [
        "mnntscharacteristicfunction"
      ]
    },
    {
      "page": "mnntsconditional",
      "title": "Conditional MNNTS density",
      "topics": [
        "mnntsconditional"
      ]
    },
    {
      "page": "mnntsgofdesignmatrix",
      "title": "Design Matrix of the MNNTS Goodness of Fit Test",
      "topics": [
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      "title": "Statistics of the MNNTS Goodness of Fit Test",
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