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  "Title": "Blind Source Separation Methods for Tensor-Valued Observations",
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  "Date": "2024-09-12",
  "Authors@R": "c(person(given = \"Joni\",\nfamily = \"Virta\",\nrole = c(\"aut\", \"cre\"),\nemail = \"joni.virta@outlook.com\",\ncomment = c(ORCID = \"0000-0001-7330-8434\")),\nperson(given = \"Christoph L.\",\nfamily = \"Koesner\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-2061-8022\")),\nperson(given = \"Bing\",\nfamily = \"Li\",\nrole = \"aut\"),\nperson(given = \"Klaus\",\nfamily = \"Nordhausen\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-3758-8501\")),\nperson(given = \"Hannu\",\nfamily = \"Oja\",\nrole = \"aut\"),\nperson(given = \"Una\",\nfamily = \"Radojicic\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0003-0329-0595\"))\n)",
  "Maintainer": "Joni Virta <joni.virta@outlook.com>",
  "Description": "Contains several utility functions for manipulating\ntensor-valued data (centering, multiplication from a single\nmode etc.) and the implementations of the following blind\nsource separation methods for tensor-valued data: 'tPCA',\n'tFOBI', 'tJADE', k-tJADE', 'tgFOBI', 'tgJADE', 'tSOBI',\n'tNSS.SD', 'tNSS.JD', 'tNSS.TD.JD', 'tPP' and 'tTUCKER'.",
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  "Author": "Joni Virta [aut, cre]\n(<https://orcid.org/0000-0001-7330-8434>), Christoph L. Koesner\n[aut] (<https://orcid.org/0000-0002-2061-8022>), Bing Li [aut],\nKlaus Nordhausen [aut]\n(<https://orcid.org/0000-0002-3758-8501>), Hannu Oja [aut], Una\nRadojicic [aut] (<https://orcid.org/0000-0003-0329-0595>)",
  "Config/pak/sysreqs": "make libicu-dev libpng-dev libssl-dev",
  "Repository": "https://jmvirta.r-universe.dev",
  "Date/Publication": "2024-09-13 02:56:43 UTC",
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    "author": "Joni Virta <joni.virta@outlook.com>",
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    "login": "jmvirta",
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      "package": "JADE",
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      "package": "ggplot2",
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  "_stars": 1,
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  "_topics": [
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  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/tensorBSS.html"
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  "_realowner": "jmvirta",
  "_cranurl": false,
  "_releases": [
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      "version": "0.1",
      "date": "2016-04-18"
    },
    {
      "version": "0.2",
      "date": "2016-08-25"
    },
    {
      "version": "0.3",
      "date": "2017-05-18"
    },
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    },
    {
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    },
    {
      "version": "0.3.4",
      "date": "2018-03-01"
    },
    {
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    {
      "version": "0.3.6",
      "date": "2020-02-27"
    },
    {
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      "date": "2020-11-19"
    },
    {
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      "date": "2021-06-02"
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      "date": "2024-09-12"
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  ],
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    "ggtladleplot",
    "k_tJADE",
    "mFlatten",
    "mModeAutoCovariance",
    "mModeCovariance",
    "print.taug",
    "print.tladle",
    "selectComponents",
    "tensorBoot",
    "tensorCentering",
    "tensorStandardize",
    "tensorTransform",
    "tensorTransform2",
    "tensorVectorize",
    "tFOBI",
    "tgFOBI",
    "tgJADE",
    "tJADE",
    "tMD",
    "tNSS.JD",
    "tNSS.SD",
    "tNSS.TD.JD",
    "tPCA",
    "tPCAaug",
    "tPCAladle",
    "tPP",
    "tSIR",
    "tSOBI",
    "tTUCKER",
    "zip2image"
  ],
  "_datasets": [
    {
      "name": "zip.test",
      "title": "Handwritten Digit Recognition Data",
      "object": "zip.test",
      "file": "zip.test.RData",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [],
      "rows": 2007,
      "table": true,
      "tojson": true
    },
    {
      "name": "zip.train",
      "title": "Handwritten Digit Recognition Data",
      "object": "zip.train",
      "file": "zip.train.RData",
      "class": [
        "matrix",
        "array"
      ],
      "fields": [],
      "rows": 7291,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "tensorBSS-package",
      "title": "Blind Source Separation Methods for Tensor-Valued Observations",
      "topics": [
        "tensorBSS-package",
        "tensorBSS"
      ]
    },
    {
      "page": "ggtaugplot",
      "title": "Augmentation plot for each mode of an object of class taug using ggplot2",
      "topics": [
        "ggtaugplot"
      ]
    },
    {
      "page": "ggtladleplot",
      "title": "Ladle plot for each mode of an object of class tladle using ggplot2",
      "topics": [
        "ggtladleplot"
      ]
    },
    {
      "page": "k_tJADE",
      "title": "k-tJADE for Tensor-Valued Observations",
      "topics": [
        "k_tJADE"
      ]
    },
    {
      "page": "mFlatten",
      "title": "Flattening an Array Along One Mode",
      "topics": [
        "mFlatten"
      ]
    },
    {
      "page": "mModeAutoCovariance",
      "title": "The m-Mode Autocovariance Matrix",
      "topics": [
        "mModeAutoCovariance"
      ]
    },
    {
      "page": "mModeCovariance",
      "title": "The m-Mode Covariance Matrix",
      "topics": [
        "mModeCovariance"
      ]
    },
    {
      "page": "plot.tbss",
      "title": "Plot an Object of the Class tbss",
      "topics": [
        "plot.tbss"
      ]
    },
    {
      "page": "print.taug",
      "title": "Printing an object of class taug",
      "topics": [
        "print.taug"
      ]
    },
    {
      "page": "print.tladle",
      "title": "Printing an object of class tladle",
      "topics": [
        "print.tladle"
      ]
    },
    {
      "page": "selectComponents",
      "title": "Select the Most Informative Components",
      "topics": [
        "selectComponents"
      ]
    },
    {
      "page": "tensorBoot",
      "title": "Bootstrapping or Permuting a Data Tensor",
      "topics": [
        "tensorBoot"
      ]
    },
    {
      "page": "tensorCentering",
      "title": "Center an Array of Observations",
      "topics": [
        "tensorCentering"
      ]
    },
    {
      "page": "tensorStandardize",
      "title": "Standardize an Observation Array",
      "topics": [
        "tensorStandardize"
      ]
    },
    {
      "page": "tensorTransform",
      "title": "Linear Transformation of Tensors from mth Mode",
      "topics": [
        "tensorTransform"
      ]
    },
    {
      "page": "tensorTransform2",
      "title": "Linear Transformations of Tensors from Several Modes",
      "topics": [
        "tensorTransform2"
      ]
    },
    {
      "page": "tensorVectorize",
      "title": "Vectorize an Observation Tensor",
      "topics": [
        "tensorVectorize"
      ]
    },
    {
      "page": "tFOBI",
      "title": "FOBI for Tensor-Valued Observations",
      "topics": [
        "tFOBI"
      ]
    },
    {
      "page": "tGFOBI",
      "title": "gFOBI for Tensor-Valued Time Series",
      "topics": [
        "tgFOBI"
      ]
    },
    {
      "page": "tGJADE",
      "title": "gJADE for Tensor-Valued Time Series",
      "topics": [
        "tgJADE"
      ]
    },
    {
      "page": "tJADE",
      "title": "tJADE for Tensor-Valued Observations",
      "topics": [
        "tJADE"
      ]
    },
    {
      "page": "tMD",
      "title": "Minimum Distance Index of a Kronecker Product",
      "topics": [
        "tMD"
      ]
    },
    {
      "page": "tNSS.JD",
      "title": "NSS-JD Method for Tensor-Valued Time Series",
      "topics": [
        "tNSS.JD"
      ]
    },
    {
      "page": "tNSS.SD",
      "title": "NSS-SD Method for Tensor-Valued Time Series",
      "topics": [
        "tNSS.SD"
      ]
    },
    {
      "page": "tNSS.TD.JD",
      "title": "TNSS-TD-JD Method for Tensor-Valued Time Series",
      "topics": [
        "tNSS.TD.JD"
      ]
    },
    {
      "page": "tPCA",
      "title": "PCA for Tensor-Valued Observations",
      "topics": [
        "tPCA"
      ]
    },
    {
      "page": "tPCAaug",
      "title": "Order Determination for Tensorial PCA Using Augmentation",
      "topics": [
        "tPCAaug"
      ]
    },
    {
      "page": "tPCAladle",
      "title": "Ladle Estimate for tPCA",
      "topics": [
        "tPCAladle"
      ]
    },
    {
      "page": "tPP",
      "title": "Projection pursuit for Tensor-Valued Observations",
      "topics": [
        "tPP"
      ]
    },
    {
      "page": "tSIR",
      "title": "SIR for Tensor-Valued Observations",
      "topics": [
        "tSIR"
      ]
    },
    {
      "page": "tSOBI",
      "title": "SOBI for Tensor-Valued Time Series",
      "topics": [
        "tSOBI"
      ]
    },
    {
      "page": "tTUCKER",
      "title": "Tucker (2) Transformation for a Tensor",
      "topics": [
        "tTUCKER"
      ]
    },
    {
      "page": "zip.test",
      "title": "Handwritten Digit Recognition Data",
      "topics": [
        "zip.test"
      ]
    },
    {
      "page": "zip.train",
      "title": "Handwritten Digit Recognition Data",
      "topics": [
        "zip.train"
      ]
    },
    {
      "page": "zip2image",
      "title": "function to convert row of zip file to format used by image()",
      "topics": [
        "zip2image"
      ]
    }
  ],
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    "nlme",
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    "progress",
    "purrr",
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    "stringr",
    "survey",
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    "tensor",
    "tibble",
    "tidyr",
    "tidyselect",
    "timeDate",
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    "urca",
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    "vctrs",
    "viridisLite",
    "withr",
    "xts",
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