{
  "_id": "6a216198cd65a98ecbd31fd6",
  "Package": "factoextra",
  "Type": "Package",
  "Title": "Extract and Visualize the Results of Multivariate Data Analyses",
  "Version": "2.0.0.999",
  "Date": "2026-04-04",
  "Authors@R": "c(\nperson(\"Alboukadel\", \"Kassambara\", role = c(\"aut\", \"cre\"), email = \"alboukadel.kassambara@gmail.com\",\ncomment = c(ORCID = \"0009-0002-9136-0791\")),\nperson(\"Fabian\", \"Mundt\", role = \"aut\", email = \"f.mundt@inventionate.de\"),\nperson(\"Laszlo\", \"Erdey\", role = \"ctb\", email = \"erdey.laszlo@econ.unideb.hu\",\ncomment = c(ORCID = \"0000-0002-6781-4303\",\naffiliation = \"Faculty of Economics and Business, University of Debrecen, Hungary\",\ncontribution = \"Modern compatibility fixes, tests, and maintenance updates\"))\n)",
  "Description": "Provides easy-to-use functions to extract and visualize\nthe output of multivariate data analyses, including 'PCA'\n(Principal Component Analysis), 'CA' (Correspondence Analysis),\n'MCA' (Multiple Correspondence Analysis), 'FAMD' (Factor\nAnalysis of Mixed Data), 'MFA' (Multiple Factor Analysis), and\n'HMFA' (Hierarchical Multiple Factor Analysis) from different R\npackages. It also includes support for supplementary\nqualitative variables in 'FactoMineR' 'FAMD' and 'MFA'\nworkflows, hardened validation for clustering and\ndimension-reduction helper workflows, backward-compatible\nphylogenic dendrogram layout support for current 'igraph' APIs,\nand 'ggplot2'-based data visualization.",
  "License": "GPL-2",
  "LazyData": "true",
  "LazyDataCompression": "xz",
  "Encoding": "UTF-8",
  "URL": "https://github.com/kassambara/factoextra,\nhttps://rpkgs.datanovia.com/factoextra/index.html",
  "BugReports": "https://github.com/kassambara/factoextra/issues",
  "Collate": "'cluster_utilities.R' 'decathlon2.R' 'print.factoextra.R'\n'get_hmfa.R' 'fviz_hmfa.R' 'get_mfa.R' 'fviz_mfa.R'\n'deprecated.R' 'fviz_add.R' 'eigenvalue.R' 'utilities.R'\n'dist.R' 'fviz_dend.R' 'hcut.R' 'get_pca.R' 'fviz_cluster.R'\n'eclust.R' 'facto_summarize.R' 'fviz.R' 'fviz_ca.R'\n'fviz_contrib.R' 'fviz_cos2.R' 'fviz_ellipses.R' 'fviz_famd.R'\n'get_mca.R' 'fviz_mca.R' 'fviz_mclust.R' 'fviz_nbclust.R'\n'fviz_pca.R' 'fviz_silhouette.R' 'get_ca.R'\n'get_clust_tendency.R' 'get_famd.R' 'hkmeans.R' 'housetasks.R'\n'multishapes.R' 'poison.R' 'zzz.R'",
  "RoxygenNote": "7.3.3",
  "Config/testthat/edition": "3",
  "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev",
  "Repository": "https://kassambara.r-universe.dev",
  "Date/Publication": "2026-06-04 10:08:50 UTC",
  "RemoteUrl": "https://github.com/kassambara/factoextra",
  "RemoteRef": "HEAD",
  "RemoteSha": "075660bfd5ea236c39cd57bb92c9104700bb0a04",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-04 11:16:25 UTC",
    "User": "root"
  },
  "Author": "Alboukadel Kassambara [aut, cre] (ORCID:\n<https://orcid.org/0009-0002-9136-0791>),\nFabian Mundt [aut],\nLaszlo Erdey [ctb] (ORCID: <https://orcid.org/0000-0002-6781-4303>,\naffiliation: Faculty of Economics and Business, University of\nDebrecen, Hungary, contribution: Modern compatibility fixes, tests,\nand maintenance updates)",
  "Maintainer": "Alboukadel Kassambara <alboukadel.kassambara@gmail.com>",
  "MD5sum": "73a6102383c0838a204b3849ca8ed36b",
  "_user": "kassambara",
  "_type": "src",
  "_file": "factoextra_2.0.0.999.tar.gz",
  "_fileid": "f08f5763718583ef0b87e3fbeea4eaade906b6a70e0c6a84bbacb0cfc62853a8",
  "_filesize": 1790862,
  "_sha256": "f08f5763718583ef0b87e3fbeea4eaade906b6a70e0c6a84bbacb0cfc62853a8",
  "_created": "2026-06-04T11:16:25.000Z",
  "_published": "2026-06-04T11:29:28.516Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79507048519,
      "time": 216,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7410086602"
    },
    {
      "job": 79507048497,
      "time": 227,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7410090166"
    },
    {
      "job": 79507048494,
      "time": 102,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7410162529"
    },
    {
      "job": 79507048537,
      "time": 136,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7410253197"
    },
    {
      "job": 79506466019,
      "time": 219,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7410018269"
    },
    {
      "job": 79507048510,
      "time": 143,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7410063888"
    },
    {
      "job": 79507048530,
      "time": 167,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7410071007"
    },
    {
      "job": 79507048526,
      "time": 156,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7410067806"
    },
    {
      "job": 79507048506,
      "time": 165,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7410070815"
    }
  ],
  "_buildurl": "https://github.com/r-universe/kassambara/actions/runs/26948216932",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/kassambara/factoextra",
  "_commit": {
    "id": "075660bfd5ea236c39cd57bb92c9104700bb0a04",
    "author": "Alboukadel Kassambara <alboukadel.kassambara@gmail.com>",
    "committer": "Alboukadel Kassambara <alboukadel.kassambara@gmail.com>",
    "message": "fix(get_pca_var): strip loadings class for princomp objects\n\nget_pca_var() returned coord/cor/cos2/contrib matrices that retained base\nR's \"loadings\" S3 class for princomp() inputs. as.matrix() is a no-op on a\nloadings object (it inherits from matrix), so the class propagated through\n.get_pca_var_results(). Its print method hid values with |x| < 0.1 and broke\ndownstream manipulation. Use unclass() to return plain numeric matrices.\n\nCloses #212\n",
    "time": 1780567730
  },
  "_maintainer": {
    "name": "Alboukadel Kassambara",
    "email": "alboukadel.kassambara@gmail.com",
    "login": "kassambara",
    "description": "PhD, Cancer Biology and Bioinformatics",
    "uuid": 3313355
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "ggplot2",
      "version": ">= 3.5.2",
      "role": "Depends"
    },
    {
      "package": "cluster",
      "version": ">= 2.1.8.2",
      "role": "Imports"
    },
    {
      "package": "dendextend",
      "version": ">= 1.19.1",
      "role": "Imports"
    },
    {
      "package": "FactoMineR",
      "version": ">= 2.13",
      "role": "Imports"
    },
    {
      "package": "ggpubr",
      "version": ">= 0.6.3",
      "role": "Imports"
    },
    {
      "package": "grid",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "version": ">= 1.1.7",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "ggrepel",
      "version": ">= 0.9.5",
      "role": "Imports"
    },
    {
      "package": "ade4",
      "role": "Suggests"
    },
    {
      "package": "ca",
      "role": "Suggests"
    },
    {
      "package": "igraph",
      "role": "Suggests"
    },
    {
      "package": "MASS",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "mclust",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    }
  ],
  "_owner": "kassambara",
  "_selfowned": true,
  "_usedby": 55,
  "_updates": [
    {
      "week": "2026-10",
      "n": 15
    },
    {
      "week": "2026-11",
      "n": 4
    },
    {
      "week": "2026-21",
      "n": 2
    },
    {
      "week": "2026-23",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "v2.0.0",
      "date": "2026-03-03"
    }
  ],
  "_stars": 381,
  "_contributors": [
    {
      "user": "kassambara",
      "count": 700,
      "uuid": 3313355
    },
    {
      "user": "inventionate",
      "count": 33,
      "uuid": 872787
    },
    {
      "user": "erdeyl",
      "count": 30,
      "uuid": 58111782
    },
    {
      "user": "lioutasb",
      "count": 3,
      "uuid": 9558061
    },
    {
      "user": "sandeepgithubrepo",
      "count": 1,
      "uuid": 7293912
    },
    {
      "user": "scoavoux",
      "count": 1,
      "uuid": 5372098
    }
  ],
  "_userbio": {
    "uuid": 3313355,
    "type": "user",
    "name": "Alboukadel KASSAMBARA",
    "description": "PhD, Cancer Biology and Bioinformatics"
  },
  "_downloads": {
    "count": 124166,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/factoextra"
  },
  "_mentions": 650,
  "_devurl": "https://github.com/kassambara/factoextra",
  "_searchresults": 27584,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/factoextra.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/kassambara/factoextra",
  "_realowner": "kassambara",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.0.3",
      "date": "2016-04-26"
    },
    {
      "version": "1.0.4",
      "date": "2017-01-09"
    },
    {
      "version": "1.0.5",
      "date": "2017-08-22"
    },
    {
      "version": "1.0.6",
      "date": "2019-12-05"
    },
    {
      "version": "1.0.7",
      "date": "2020-04-01"
    },
    {
      "version": "2.0.0",
      "date": "2026-03-03"
    }
  ],
  "_exports": [
    "eclust",
    "facto_summarize",
    "factominer_category_map",
    "fviz",
    "fviz_add",
    "fviz_ca",
    "fviz_ca_biplot",
    "fviz_ca_col",
    "fviz_ca_row",
    "fviz_cluster",
    "fviz_contrib",
    "fviz_cos2",
    "fviz_dend",
    "fviz_dist",
    "fviz_eig",
    "fviz_ellipses",
    "fviz_famd",
    "fviz_famd_ind",
    "fviz_famd_var",
    "fviz_gap_stat",
    "fviz_hmfa",
    "fviz_hmfa_group",
    "fviz_hmfa_ind",
    "fviz_hmfa_ind_starplot",
    "fviz_hmfa_quali_biplot",
    "fviz_hmfa_quali_var",
    "fviz_hmfa_quanti_var",
    "fviz_hmfa_var",
    "fviz_mca",
    "fviz_mca_biplot",
    "fviz_mca_ind",
    "fviz_mca_var",
    "fviz_mclust",
    "fviz_mclust_bic",
    "fviz_mfa",
    "fviz_mfa_axes",
    "fviz_mfa_group",
    "fviz_mfa_ind",
    "fviz_mfa_ind_starplot",
    "fviz_mfa_quali_biplot",
    "fviz_mfa_quali_var",
    "fviz_mfa_quanti_var",
    "fviz_mfa_var",
    "fviz_nbclust",
    "fviz_pca",
    "fviz_pca_biplot",
    "fviz_pca_contrib",
    "fviz_pca_ind",
    "fviz_pca_var",
    "fviz_screeplot",
    "fviz_silhouette",
    "get_ca",
    "get_ca_col",
    "get_ca_row",
    "get_clust_tendency",
    "get_dist",
    "get_eig",
    "get_eigenvalue",
    "get_famd",
    "get_famd_ind",
    "get_famd_var",
    "get_hmfa",
    "get_hmfa_group",
    "get_hmfa_ind",
    "get_hmfa_partial",
    "get_hmfa_quali_var",
    "get_hmfa_quanti_var",
    "get_hmfa_var",
    "get_mca",
    "get_mca_ind",
    "get_mca_var",
    "get_mfa",
    "get_mfa_group",
    "get_mfa_ind",
    "get_mfa_partial_axes",
    "get_mfa_quali_var",
    "get_mfa_quanti_var",
    "get_mfa_var",
    "get_pca",
    "get_pca_ind",
    "get_pca_var",
    "hcut",
    "hkmeans",
    "hkmeans_tree",
    "map_factominer_legacy_names"
  ],
  "_datasets": [
    {
      "name": "decathlon2",
      "title": "Athletes' performance in decathlon",
      "object": "decathlon2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X100m",
        "Long.jump",
        "Shot.put",
        "High.jump",
        "X400m",
        "X110m.hurdle",
        "Discus",
        "Pole.vault",
        "Javeline",
        "X1500m",
        "Rank",
        "Points",
        "Competition"
      ],
      "rows": 27,
      "table": true,
      "tojson": true
    },
    {
      "name": "housetasks",
      "title": "House tasks contingency table",
      "object": "housetasks",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Wife",
        "Alternating",
        "Husband",
        "Jointly"
      ],
      "rows": 13,
      "table": true,
      "tojson": true
    },
    {
      "name": "multishapes",
      "title": "A dataset containing clusters of multiple shapes",
      "object": "multishapes",
      "class": [
        "data.frame"
      ],
      "fields": [
        "x",
        "y",
        "shape"
      ],
      "rows": 1100,
      "table": true,
      "tojson": true
    },
    {
      "name": "poison",
      "title": "Poison",
      "object": "poison",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Age",
        "Time",
        "Sick",
        "Sex",
        "Nausea",
        "Vomiting",
        "Abdominals",
        "Fever",
        "Diarrhae",
        "Potato",
        "Fish",
        "Mayo",
        "Courgette",
        "Cheese",
        "Icecream"
      ],
      "rows": 55,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "decathlon2",
      "title": "Athletes' performance in decathlon",
      "topics": [
        "decathlon2"
      ]
    },
    {
      "page": "deprecated",
      "title": "Deprecated Functions",
      "topics": [
        "deprecated",
        "fviz_hmfa_group",
        "fviz_hmfa_ind_starplot",
        "fviz_hmfa_quali_var",
        "fviz_hmfa_quanti_var",
        "fviz_mfa_group",
        "fviz_mfa_ind_starplot",
        "fviz_mfa_quali_var",
        "fviz_mfa_quanti_var",
        "get_hmfa_group",
        "get_hmfa_quali_var",
        "get_hmfa_quanti_var",
        "get_mfa_group",
        "get_mfa_quali_var",
        "get_mfa_quanti_var"
      ]
    },
    {
      "page": "dist",
      "title": "Enhanced Distance Matrix Computation and Visualization",
      "topics": [
        "dist",
        "fviz_dist",
        "get_dist"
      ]
    },
    {
      "page": "eclust",
      "title": "Visual enhancement of clustering analysis",
      "topics": [
        "eclust"
      ]
    },
    {
      "page": "eigenvalue",
      "title": "Extract and visualize the eigenvalues/variances of dimensions",
      "topics": [
        "eigenvalue",
        "fviz_eig",
        "fviz_screeplot",
        "get_eig",
        "get_eigenvalue"
      ]
    },
    {
      "page": "facto_summarize",
      "title": "Subset and summarize the output of factor analyses",
      "topics": [
        "facto_summarize"
      ]
    },
    {
      "page": "factominer_category_map",
      "title": "Map FactoMineR category labels to legacy naming patterns",
      "topics": [
        "factominer_category_map"
      ]
    },
    {
      "page": "fviz",
      "title": "Visualizing Multivariate Analyse Outputs",
      "topics": [
        "fviz"
      ]
    },
    {
      "page": "fviz_add",
      "title": "Add supplementary data to a plot",
      "topics": [
        "fviz_add"
      ]
    },
    {
      "page": "fviz_ca",
      "title": "Visualize Correspondence Analysis",
      "topics": [
        "fviz_ca",
        "fviz_ca_biplot",
        "fviz_ca_col",
        "fviz_ca_row"
      ]
    },
    {
      "page": "fviz_cluster",
      "title": "Visualize Clustering Results",
      "topics": [
        "fviz_cluster"
      ]
    },
    {
      "page": "fviz_contrib",
      "title": "Visualize the contributions of row/column elements",
      "topics": [
        "fviz_contrib",
        "fviz_pca_contrib"
      ]
    },
    {
      "page": "fviz_cos2",
      "title": "Visualize the quality of representation of rows/columns",
      "topics": [
        "fviz_cos2"
      ]
    },
    {
      "page": "fviz_dend",
      "title": "Enhanced Visualization of Dendrogram",
      "topics": [
        "fviz_dend"
      ]
    },
    {
      "page": "fviz_ellipses",
      "title": "Draw confidence ellipses around the categories",
      "topics": [
        "fviz_ellipses"
      ]
    },
    {
      "page": "fviz_famd",
      "title": "Visualize Factor Analysis of Mixed Data",
      "topics": [
        "fviz_famd",
        "fviz_famd_ind",
        "fviz_famd_var"
      ]
    },
    {
      "page": "fviz_hmfa",
      "title": "Visualize Hierarchical Multiple Factor Analysis",
      "topics": [
        "fviz_hmfa",
        "fviz_hmfa_ind",
        "fviz_hmfa_quali_biplot",
        "fviz_hmfa_var"
      ]
    },
    {
      "page": "fviz_mca",
      "title": "Visualize Multiple Correspondence Analysis",
      "topics": [
        "fviz_mca",
        "fviz_mca_biplot",
        "fviz_mca_ind",
        "fviz_mca_var"
      ]
    },
    {
      "page": "fviz_mclust",
      "title": "Plot Model-Based Clustering Results using ggplot2",
      "topics": [
        "fviz_mclust",
        "fviz_mclust_bic"
      ]
    },
    {
      "page": "fviz_mfa",
      "title": "Visualize Multiple Factor Analysis",
      "topics": [
        "fviz_mfa",
        "fviz_mfa_axes",
        "fviz_mfa_ind",
        "fviz_mfa_quali_biplot",
        "fviz_mfa_var"
      ]
    },
    {
      "page": "fviz_nbclust",
      "title": "Determining and Visualizing the Optimal Number of Clusters",
      "topics": [
        "fviz_gap_stat",
        "fviz_nbclust"
      ]
    },
    {
      "page": "fviz_pca",
      "title": "Visualize Principal Component Analysis",
      "topics": [
        "fviz_pca",
        "fviz_pca_biplot",
        "fviz_pca_ind",
        "fviz_pca_var"
      ]
    },
    {
      "page": "fviz_silhouette",
      "title": "Visualize Silhouette Information from Clustering",
      "topics": [
        "fviz_silhouette"
      ]
    },
    {
      "page": "get_ca",
      "title": "Extract the results for rows/columns - CA",
      "topics": [
        "get_ca",
        "get_ca_col",
        "get_ca_row"
      ]
    },
    {
      "page": "get_clust_tendency",
      "title": "Assessing Clustering Tendency",
      "topics": [
        "get_clust_tendency"
      ]
    },
    {
      "page": "get_famd",
      "title": "Extract the results for individuals and variables - FAMD",
      "topics": [
        "get_famd",
        "get_famd_ind",
        "get_famd_var"
      ]
    },
    {
      "page": "get_hmfa",
      "title": "Extract the results for individuals/variables/group/partial axes - HMFA",
      "topics": [
        "get_hmfa",
        "get_hmfa_ind",
        "get_hmfa_partial",
        "get_hmfa_var"
      ]
    },
    {
      "page": "get_mca",
      "title": "Extract the results for individuals/variables - MCA",
      "topics": [
        "get_mca",
        "get_mca_ind",
        "get_mca_var"
      ]
    },
    {
      "page": "get_mfa",
      "title": "Extract the results for individuals/variables/group/partial axes - MFA",
      "topics": [
        "get_mfa",
        "get_mfa_ind",
        "get_mfa_partial_axes",
        "get_mfa_var"
      ]
    },
    {
      "page": "get_pca",
      "title": "Extract the results for individuals/variables - PCA",
      "topics": [
        "get_pca",
        "get_pca_ind",
        "get_pca_var"
      ]
    },
    {
      "page": "hcut",
      "title": "Computes Hierarchical Clustering and Cut the Tree",
      "topics": [
        "hcut"
      ]
    },
    {
      "page": "hkmeans",
      "title": "Hierarchical k-means clustering",
      "topics": [
        "hkmeans",
        "hkmeans_tree",
        "print.hkmeans"
      ]
    },
    {
      "page": "housetasks",
      "title": "House tasks contingency table",
      "topics": [
        "housetasks"
      ]
    },
    {
      "page": "map_factominer_legacy_names",
      "title": "Map legacy FactoMineR category names to current labels",
      "topics": [
        "map_factominer_legacy_names"
      ]
    },
    {
      "page": "multishapes",
      "title": "A dataset containing clusters of multiple shapes",
      "topics": [
        "multishapes"
      ]
    },
    {
      "page": "poison",
      "title": "Poison",
      "topics": [
        "poison"
      ]
    },
    {
      "page": "print.factoextra",
      "title": "Print method for an object of class factoextra",
      "topics": [
        "print.factoextra"
      ]
    }
  ],
  "_readme": "https://github.com/kassambara/factoextra/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "backports",
    "base64enc",
    "boot",
    "broom",
    "bslib",
    "cachem",
    "car",
    "carData",
    "cli",
    "cluster",
    "colorspace",
    "corrplot",
    "cowplot",
    "cpp11",
    "crosstalk",
    "dendextend",
    "Deriv",
    "digest",
    "doBy",
    "dplyr",
    "DT",
    "ellipse",
    "emmeans",
    "estimability",
    "evaluate",
    "FactoMineR",
    "farver",
    "fastmap",
    "flashClust",
    "fontawesome",
    "forecast",
    "Formula",
    "fracdiff",
    "fs",
    "generics",
    "ggplot2",
    "ggpubr",
    "ggrepel",
    "ggsci",
    "ggsignif",
    "glue",
    "gridExtra",
    "gtable",
    "highr",
    "htmltools",
    "htmlwidgets",
    "isoband",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "later",
    "lattice",
    "lazyeval",
    "leaps",
    "lifecycle",
    "lme4",
    "lmtest",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixModels",
    "memoise",
    "mgcv",
    "microbenchmark",
    "mime",
    "minqa",
    "modelr",
    "multcompView",
    "mvtnorm",
    "nlme",
    "nloptr",
    "nnet",
    "numDeriv",
    "otel",
    "pbkrtest",
    "pillar",
    "pkgconfig",
    "polynom",
    "promises",
    "purrr",
    "quantreg",
    "R6",
    "rappdirs",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "Rdpack",
    "reformulas",
    "rlang",
    "rmarkdown",
    "rstatix",
    "S7",
    "sass",
    "scales",
    "scatterplot3d",
    "SparseM",
    "stringi",
    "stringr",
    "survival",
    "tibble",
    "tidyr",
    "tidyselect",
    "timeDate",
    "tinytex",
    "urca",
    "utf8",
    "vctrs",
    "viridis",
    "viridisLite",
    "withr",
    "xfun",
    "yaml",
    "zoo"
  ],
  "_score": 15.33306885461008,
  "_indexed": true,
  "_nocasepkg": "factoextra",
  "_universes": [
    "kassambara"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "2.0.0.999",
      "date": "2026-06-04T11:19:08.000Z",
      "distro": "noble",
      "commit": "075660bfd5ea236c39cd57bb92c9104700bb0a04",
      "fileid": "3b1763cc9ea72155770dc76200c9d81c1bb6b9d604880eced790bfe49d2beb7d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kassambara/actions/runs/26948216932"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "2.0.0.999",
      "date": "2026-06-04T11:19:14.000Z",
      "distro": "noble",
      "commit": "075660bfd5ea236c39cd57bb92c9104700bb0a04",
      "fileid": "193a77da446cebf88b9731bb25feba8170db09ddaf6175353892b5e48e1cabe4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kassambara/actions/runs/26948216932"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "2.0.0.999",
      "date": "2026-06-04T11:23:43.000Z",
      "commit": "075660bfd5ea236c39cd57bb92c9104700bb0a04",
      "fileid": "315fbdc90fe4e30a7a329b13ea52d39b435c94619e075a1327e800667c8d452d",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kassambara/actions/runs/26948216932"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "2.0.0.999",
      "date": "2026-06-04T11:28:28.000Z",
      "commit": "075660bfd5ea236c39cd57bb92c9104700bb0a04",
      "fileid": "9f5c37e4dbb49b9d4eac71b76e3405f094b94b91561b0e20e4d108e05aded5f3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kassambara/actions/runs/26948216932"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "2.0.0.999",
      "date": "2026-06-04T11:19:11.000Z",
      "commit": "075660bfd5ea236c39cd57bb92c9104700bb0a04",
      "fileid": "c9ddbe821f37a3d40272e9fad2f604e353aebc6a66ccf7a584bbf820bf98b75b",
      "status": "success",
      "buildurl": "https://github.com/r-universe/kassambara/actions/runs/26948216932"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "2.0.0.999",
      "date": "2026-06-04T11:17:57.000Z",
      "commit": "075660bfd5ea236c39cd57bb92c9104700bb0a04",
      "fileid": "24f4e904777e0273f07855f610d8285f763b77263c813ad119120282f3cb50b9",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kassambara/actions/runs/26948216932"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "2.0.0.999",
      "date": "2026-06-04T11:17:51.000Z",
      "commit": "075660bfd5ea236c39cd57bb92c9104700bb0a04",
      "fileid": "b9a04df0afa9339560b6528ae85c50072196c84ec86121b9f70e86377c9c7a05",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kassambara/actions/runs/26948216932"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "2.0.0.999",
      "date": "2026-06-04T11:17:55.000Z",
      "commit": "075660bfd5ea236c39cd57bb92c9104700bb0a04",
      "fileid": "05f2903a021d85538e1b03c61320db732942c0f7afc1b2eb732b1879ed08c992",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kassambara/actions/runs/26948216932"
    }
  ]
}