{
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  "Package": "ivaBSS",
  "Type": "Package",
  "Title": "Tools for Independent Vector Analysis",
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  "Date": "2022-05-03",
  "Authors@R": "c(person(given = \"Mika\", family = \"Sipilä\", role = c(\"aut\", \"cre\"), email = \"mika.e.sipila@student.jyu.fi\"),\nperson(given = \"Klaus\", family = \"Nordhausen\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-3758-8501\")),\nperson(given = \"Sara\", family = \"Taskinen\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-9470-7258\")))",
  "Encoding": "UTF-8",
  "Maintainer": "Mika Sipilä <mika.e.sipila@student.jyu.fi>",
  "Description": "Independent vector analysis (IVA) is a blind source\nseparation (BSS) model where several datasets are jointly\nunmixed. This package provides several methods for the unmixing\ntogether with some performance measures. For details, see\nAnderson et al. (2011) <doi:10.1109/TSP.2011.2181836> and Lee\net al. (2007) <doi:10.1016/j.sigpro.2007.01.010>.",
  "License": "GPL (>= 3)",
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    "User": "root"
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  "Author": "Mika Sipilä [aut, cre], Klaus Nordhausen [aut]\n(<https://orcid.org/0000-0002-3758-8501>), Sara Taskinen [aut]\n(<https://orcid.org/0000-0001-9470-7258>)",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2022-05-19 16:00:02 UTC",
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      "package": "stats",
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    },
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      "package": "graphics",
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    },
    {
      "package": "BSSprep",
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    },
    {
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  "_userbio": {
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    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/ivaBSS"
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  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
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  "_exports": [
    "avg_ISI",
    "coef.iva",
    "components.iva",
    "fastIVA",
    "jbss_achieved",
    "joint_ISI",
    "NewtonIVA",
    "plot.iva",
    "predict.iva",
    "print.iva",
    "summary.iva"
  ],
  "_help": [
    {
      "page": "IVA-package",
      "title": "Tools for Independent Vector Analysis",
      "topics": [
        "ivaBSS-package",
        "ivaBSS"
      ]
    },
    {
      "page": "avg_ISI",
      "title": "Average Intersymbol Inference",
      "topics": [
        "avg_ISI"
      ]
    },
    {
      "page": "coef.iva",
      "title": "Coefficient of the Object of Class iva",
      "topics": [
        "coef.iva"
      ]
    },
    {
      "page": "components.iva",
      "title": "Components of the Object of Class iva",
      "topics": [
        "components.iva"
      ]
    },
    {
      "page": "fastIVA",
      "title": "Fast Fixed-point IVA Algorithm",
      "topics": [
        "fastIVA"
      ]
    },
    {
      "page": "jbss_achieved",
      "title": "JBSS Achieved",
      "topics": [
        "jbss_achieved"
      ]
    },
    {
      "page": "joint_ISI",
      "title": "Joint Intersymbol Inference",
      "topics": [
        "joint_ISI"
      ]
    },
    {
      "page": "NewtonIVA",
      "title": "Newton Update Based IVA Algorithm",
      "topics": [
        "NewtonIVA"
      ]
    },
    {
      "page": "plot.iva",
      "title": "Plotting an Object of Class iva",
      "topics": [
        "plot.iva"
      ]
    },
    {
      "page": "predict.iva",
      "title": "Predict Method for Object of Class iva",
      "topics": [
        "predict.iva"
      ]
    },
    {
      "page": "print.iva",
      "title": "Print an Object of Class iva",
      "topics": [
        "print.iva"
      ]
    },
    {
      "page": "summary.iva",
      "title": "Summarize an Object of Class iva",
      "topics": [
        "summary.iva"
      ]
    }
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  "_rundeps": [
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    "RcppArmadillo"
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  "_indexed": true,
  "_nocasepkg": "ivabss",
  "_universes": [
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