{
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  "Package": "GeomArchetypal",
  "Type": "Package",
  "Title": "Finds the Geometrical Archetypal Analysis of a Data Frame",
  "Version": "1.0.1",
  "Date": "2024-05-30",
  "Authors@R": "c(\nperson(\"Demetris\", \"Christopoulos\",email = \"dchristop@econ.uoa.gr\",role = c(\"aut\", \"cre\",\"cph\")),\nperson(\"David\", \"Midgley\", email = \"david.midgley@insead.edu\", role = c(\"ctb\",\"cph\")),\nperson(\"Sunil\", \"Venaik\", email = \"s.venaik@business.uq.edu.au\", role = c(\"ctb\")),\nperson(\"INSEAD Hoffmann Institute France\", role = c(\"fnd\")),\nperson(\"The University of Queensland Australia\", role = c(\"fnd\"))\n)",
  "Maintainer": "Demetris Christopoulos <dchristop@econ.uoa.gr>",
  "Description": "Performs Geometrical Archetypal Analysis after creating\nGrid Archetypes which are the Cartesian Product of all minimum,\nmaximum variable values. Since the archetypes are fixed now, we\nhave the ability to compute the convex composition coefficients\nfor all our available data points much faster by using the half\npart of Principal Convex Hull Archetypal method. Additionally\nwe can decide to keep as archetypes the closer to the Grid\nArchetypes ones. Finally the number of archetypes is always 2\nto the power of the dimension of our data points if we consider\nthem as a vector space. Cutler, A., Breiman, L. (1994)\n<doi:10.1080/00401706.1994.10485840>. Morup, M., Hansen, LK.\n(2012) <doi:10.1016/j.neucom.2011.06.033>. Christopoulos, DT.\n(2024) <doi:10.13140/RG.2.2.14030.88642>.",
  "License": "GPL (>= 2)",
  "VignetteBuilder": "knitr",
  "Author": "Demetris Christopoulos [aut, cre, cph], David Midgley [ctb,\ncph], Sunil Venaik [ctb], INSEAD Hoffmann Institute France\n[fnd], The University of Queensland Australia [fnd]",
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  "Language": "en-US",
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  "Date/Publication": "2024-06-02 07:33:00 UTC",
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    "closer_grid_archetypal",
    "fast_archetypal",
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    "print.grid_archetypal",
    "summary.BLB_archetypal",
    "summary.closer_grid_archetypal",
    "summary.grid_archetypal"
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      "name": "gallupGPS6",
      "title": "Gallup Global Preferences Study processed data set of six variables",
      "object": "gallupGPS6",
      "file": "gallupGPS6.RData",
      "class": [
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      ],
      "fields": [
        "patience",
        "risktaking",
        "posrecip",
        "negrecip",
        "altruism",
        "trust"
      ],
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    }
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    {
      "page": "GeomArchetypal-package",
      "title": "Finds the Geometrical Archetypal Analysis of a Data Frame",
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        "GeomArchetypal-package",
        "GeomArchetypal"
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      "page": "BLB_archetypal",
      "title": "Archetypal Analysis using the Bag of Little Bootstraps",
      "topics": [
        "BLB_archetypal"
      ]
    },
    {
      "page": "closer_grid_archetypal",
      "title": "Performs the Archetypal Analysis of a Data Frame by using as Archetypes the Closer to The Archetypal Grid Data Points",
      "topics": [
        "closer_grid_archetypal"
      ]
    },
    {
      "page": "fast_archetypal",
      "title": "Performs the Archetypal Analysis of a Data Frame by using a Given Set of Archetypes",
      "topics": [
        "fast_archetypal"
      ]
    },
    {
      "page": "gallupGPS6",
      "title": "Gallup Global Preferences Study processed data set of six variables",
      "topics": [
        "gallupGPS6"
      ]
    },
    {
      "page": "grid_archetypal",
      "title": "Performs the Archetypal Analysis of a Data Frame by using as Archetypes the Archetypal Grid",
      "topics": [
        "grid_archetypal"
      ]
    },
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      "title": "Plot an Object of the Class closer_grid_archetypal",
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      ]
    },
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    },
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      "filename": "GeomArchetypal.html",
      "title": "Geometrical Archetypal Analysis: One Step Beyond the Current View",
      "author": "Demetris T. Christopoulos, National and Kapodistrian University of Athens, https://orcid.org/0009-0008-6436-095X, dchristop@econ.uoa.gr",
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