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  "Title": "Vector in Partition",
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  "Authors@R": "c(person(\"Joseph\",\"Handwerker\", role = c(\"aut\", \"ctb\", \"cre\"),\nemail = \"jkhndwrk@memphis.edu\"),\nperson(\"Allison\",\"Plaxco\", role = c(\"aut\", \"ctb\")),\nperson(\"Luke\",\"Pirrotta\", role = c(\"ctb\")),\nperson(\"Lauren\",\"Sobral\", role = \"ctb\"),\nperson(\"Meredith\",\"Ray\", role = c(\"aut\",\"ctb\")))",
  "Maintainer": "Joseph Handwerker <jkhndwrk@memphis.edu>",
  "Description": "Non-parametric clustering of joint pattern\nmulti-genetic/epigenetic factors. This package contains\nfunctions designed to cluster subjects based on gene features\nincluding single nucleotide polymorphisms (SNPs), DNA\nmethylation (CPG), gene expression (GE), and covariate data.\nThe novel concept follows the general K-means (Hartigan and\nWong (1979) <doi:10.2307/2346830> framework but uses weighted\nEuclidean distances across the gene features to cluster\nsubjects. This approach is unique in that it attempts to\ncapture all pairwise interactions in an effort to cluster based\non their complex biological interactions.",
  "License": "Artistic-2.0",
  "Encoding": "UTF-8",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-18 06:08:05 UTC",
    "User": "root"
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  "Author": "Joseph Handwerker [aut, ctb, cre], Allison Plaxco [aut, ctb],\nLuke Pirrotta [ctb], Lauren Sobral [ctb], Meredith Ray [aut,\nctb]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-04-18 03:32:52 UTC",
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    "VIP",
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    "VIPlong",
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    "VIPnoSNP",
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      "page": "BinaryClass",
      "title": "Binary Classification",
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      "title": "VIP extension to grouped data using Gower's similarity",
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        "gower"
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    },
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      ]
    },
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      ]
    },
    {
      "page": "SimulatedGrouped",
      "title": "Simulated grouped data for use with VIP extensions to grouped data",
      "topics": [
        "SimulatedGrouped"
      ]
    },
    {
      "page": "VIP",
      "title": "Vector in Partition",
      "topics": [
        "VIP"
      ]
    },
    {
      "page": "VIPcov",
      "title": "Vector in Partition with covariates",
      "topics": [
        "VIPcov"
      ]
    },
    {
      "page": "VIPlong",
      "title": "Vector in Partition Longitudinal",
      "topics": [
        "VIPlong"
      ]
    },
    {
      "page": "VIPnoCPG",
      "title": "Vector in Partition without CPG data",
      "topics": [
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      ]
    },
    {
      "page": "VIPnoSNP",
      "title": "Vector in Partition without SNP data",
      "topics": [
        "VIPnoSNP"
      ]
    },
    {
      "page": "vipx",
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      ]
    }
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    "zigg"
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