{
  "_id": "6a16b327acfb0bcc41d8546c",
  "Package": "lipidomeR",
  "Type": "Package",
  "Title": "Integrative Visualizations of the Lipidome",
  "Version": "0.1.2",
  "Authors@R": "c( person( \"Tommi\", \"Suvitaival\", \nrole = c( \"aut\", \"cre\" ),\nemail = \"TSUV0001@RegionH.DK\",\ncomment = c( ORCID = \"0000-0002-2583-4912\" )\n)\n)",
  "Description": "Create lipidome-wide heatmaps of statistics with the\n'lipidomeR'. The 'lipidomeR' provides a streamlined pipeline\nfor the systematic interpretation of the lipidome through\npublication-ready visualizations of regression models fitted on\nlipidomics data. With 'lipidomeR', associations between\ncovariates and the lipidome can be interpreted systematically\nand intuitively through heatmaps, where lipids are categorized\nby the lipid class and are presented on two-dimensional maps\norganized by the lipid size and level of saturation. This way,\nthe 'lipidomeR' helps you gain an immediate understanding of\nthe multivariate patterns in the lipidome already at first\nglance. You can create lipidome-wide heatmaps of statistical\nassociations, changes, differences, variation, or other\nlipid-specific values. The heatmaps are provided with\npublication-ready quality and the results behind the\nvisualizations are based on rigorous statistical models.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "URL": "https://tommi-s.github.io/",
  "RoxygenNote": "7.0.2",
  "biocViews": "",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-27 08:58:25 UTC",
    "User": "root"
  },
  "Author": "Tommi Suvitaival [aut, cre]\n(<https://orcid.org/0000-0002-2583-4912>)",
  "Maintainer": "Tommi Suvitaival <TSUV0001@RegionH.DK>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2020-03-15 09:20:02 UTC",
  "RemoteUrl": "https://github.com/cran/lipidomeR",
  "RemoteRef": "HEAD",
  "RemoteSha": "cdaf35470031ae7f3487206945881e5d546f3b1e",
  "MD5sum": "3aa52ee7aa945116280ee4d65bb53c1a",
  "_user": "cran",
  "_type": "src",
  "_file": "lipidomeR_0.1.2.tar.gz",
  "_fileid": "85acae69cfbe1f91fc0d85d31ab63efc4734646969da36fc0ffc62722667ee67",
  "_filesize": 348256,
  "_sha256": "85acae69cfbe1f91fc0d85d31ab63efc4734646969da36fc0ffc62722667ee67",
  "_created": "2026-05-27T08:58:25.000Z",
  "_published": "2026-05-27T09:02:31.148Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 78042775036,
      "time": 168,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7236261716"
    },
    {
      "job": 78042775017,
      "time": 180,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7236266284"
    },
    {
      "job": 78042212545,
      "time": 202,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7236204435"
    },
    {
      "job": 78042775020,
      "time": 135,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7236250028"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/26501296876",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/lipidomeR",
  "_commit": {
    "id": "cdaf35470031ae7f3487206945881e5d546f3b1e",
    "author": "Tommi Suvitaival <TSUV0001@RegionH.DK>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.1.2\n",
    "time": 1584264002
  },
  "_maintainer": {
    "name": "Tommi Suvitaival",
    "email": "tsuv0001@regionh.dk",
    "orcid": "0000-0002-2583-4912"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 3.5.0",
      "role": "Depends"
    },
    {
      "package": "BiocManager",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Imports"
    },
    {
      "package": "limma",
      "role": "Imports"
    },
    {
      "package": "reshape2",
      "role": "Imports"
    },
    {
      "package": "shadowtext",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "tableone",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 166,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/lipidomeR"
  },
  "_mentions": 1,
  "_searchresults": 7,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/lipidomeR.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1.2",
      "date": "2020-03-15"
    }
  ],
  "_exports": [
    "compute_F_test_with_limma",
    "compute_models_with_limma",
    "compute_post_hoc_test_with_limma",
    "heatmap_lipidome",
    "heatmap_lipidome_from_limma",
    "install_Bioconductor_dependencies",
    "map_lipid_names"
  ],
  "_datasets": [
    {
      "name": "cancerlipidome",
      "title": "Levels of lipids in benign and malignant breast tumors in humans.",
      "object": "cancerlipidome",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "ID",
        "Group",
        "Race",
        "Stage",
        "Type",
        "Lipid_Name",
        "Lipid_Level"
      ],
      "rows": 48262,
      "table": true,
      "tojson": true
    },
    {
      "name": "humanlipidome",
      "title": "Concentrations of lipids in a human plasma reference sample",
      "object": "humanlipidome",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Name",
        "Concentration"
      ],
      "rows": 403,
      "table": true,
      "tojson": true
    },
    {
      "name": "liverlipidome",
      "title": "Levels of lipids in the human liver with or without non-alcoholic liver disease (NAFLD).",
      "object": "liverlipidome",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "ID",
        "Diagnosis",
        "GENDER",
        "BMI",
        "ETHNICITY",
        "AGE",
        "AST",
        "ALT",
        "ALKP",
        "TBIL",
        "GLUCOSE",
        "Lipid_Name",
        "Lipid_Level"
      ],
      "rows": 33704,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "cancerlipidome",
      "title": "Levels of lipids in benign and malignant breast tumors in humans.",
      "topics": [
        "cancerlipidome"
      ]
    },
    {
      "page": "compute_F_test_with_limma",
      "title": "Compute an F-test for a multi-level factor independent variable",
      "topics": [
        "compute_F_test_with_limma"
      ]
    },
    {
      "page": "compute_models_with_limma",
      "title": "Compute lipid-specific regression models",
      "topics": [
        "compute_models_with_limma"
      ]
    },
    {
      "page": "compute_post_hoc_test_with_limma",
      "title": "Compute pairwise post-hoc comparisons for a multi-level factor",
      "topics": [
        "compute_post_hoc_test_with_limma"
      ]
    },
    {
      "page": "heatmap_lipidome",
      "title": "Create 'lipidomeR' heatmaps of arbitrary lipid-specific values.",
      "topics": [
        "heatmap_lipidome"
      ]
    },
    {
      "page": "heatmap_lipidome_from_limma",
      "title": "Create 'lipidomeR' heatmaps of model statistics",
      "topics": [
        "heatmap_lipidome_from_limma"
      ]
    },
    {
      "page": "humanlipidome",
      "title": "Concentrations of lipids in a human plasma reference sample",
      "topics": [
        "humanlipidome"
      ]
    },
    {
      "page": "install_Bioconductor_dependencies",
      "title": "Install the Bioconductor dependencies for the 'lipidomeR'",
      "topics": [
        "install_Bioconductor_dependencies"
      ]
    },
    {
      "page": "liverlipidome",
      "title": "Levels of lipids in the human liver with or without non-alcoholic liver disease (NAFLD).",
      "topics": [
        "liverlipidome"
      ]
    },
    {
      "page": "map_lipid_names",
      "title": "Enumerate lipid names into values about lipid class, size and saturation",
      "topics": [
        "map_lipid_names"
      ]
    }
  ],
  "_readme": "https://github.com/cran/lipidomeR/raw/HEAD/README.md",
  "_rundeps": [
    "base64enc",
    "BiocManager",
    "bit",
    "bit64",
    "bslib",
    "cachem",
    "class",
    "cli",
    "clipr",
    "cpp11",
    "crayon",
    "DBI",
    "digest",
    "dplyr",
    "e1071",
    "evaluate",
    "farver",
    "fastmap",
    "fontawesome",
    "fontBitstreamVera",
    "fontLiberation",
    "fontquiver",
    "forcats",
    "fs",
    "gdata",
    "gdtools",
    "generics",
    "ggiraph",
    "ggplot2",
    "glue",
    "gmodels",
    "gtable",
    "gtools",
    "haven",
    "highr",
    "hms",
    "htmltools",
    "htmlwidgets",
    "isoband",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "labelled",
    "lattice",
    "lifecycle",
    "limma",
    "magrittr",
    "MASS",
    "Matrix",
    "memoise",
    "mime",
    "minqa",
    "mitools",
    "nlme",
    "numDeriv",
    "pillar",
    "pkgconfig",
    "plyr",
    "prettyunits",
    "progress",
    "proxy",
    "purrr",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "readr",
    "reshape2",
    "rlang",
    "rmarkdown",
    "S7",
    "sass",
    "scales",
    "shadowtext",
    "statmod",
    "stringi",
    "stringr",
    "survey",
    "survival",
    "systemfonts",
    "tableone",
    "tibble",
    "tidyr",
    "tidyselect",
    "tinytex",
    "tzdb",
    "utf8",
    "vctrs",
    "viridisLite",
    "vroom",
    "withr",
    "xfun",
    "yaml",
    "zoo"
  ],
  "_score": 1.6989700043360187,
  "_indexed": true,
  "_nocasepkg": "lipidomer",
  "_universes": [
    "cran"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.2",
      "date": "2026-05-27T09:00:55.000Z",
      "distro": "noble",
      "commit": "cdaf35470031ae7f3487206945881e5d546f3b1e",
      "fileid": "b88e654d5283acaa7ce11006cc44849dc93b8e0c7ce51d68809131f0066f46c4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26501296876"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "0.1.2",
      "date": "2026-05-27T09:00:54.000Z",
      "distro": "noble",
      "commit": "cdaf35470031ae7f3487206945881e5d546f3b1e",
      "fileid": "12be41d616be19a491ac1b2595f62c76422ffb6480734c79f923a012746a9d16",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26501296876"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.2",
      "date": "2026-05-27T09:01:05.000Z",
      "commit": "cdaf35470031ae7f3487206945881e5d546f3b1e",
      "fileid": "c1e08cfe30c5c0d3dac2136bb00d23f14cf5fddbdfcdeebc90c0fa10072f9336",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/26501296876"
    }
  ]
}