{
  "_id": "6a1043aeacfb0bcc41c9dfe7",
  "Package": "packMBPLSDA",
  "Type": "Package",
  "Title": "Multi-Block Partial Least Squares Discriminant Analysis",
  "Version": "0.9.0",
  "Date": "2022-06-20",
  "Author": "Marion Brandolini-Bunlon, Stephanie Bougeard, Melanie Petera,\nEstelle Pujos-Guillot",
  "Maintainer": "Marion Brandolini-Bunlon <marion.brandolini-bunlon@inra.fr>",
  "Description": "Several functions are provided to implement a MBPLSDA :\ncomponents search, optimal model components number search,\noptimal model validity test by permutation tests, observed\nvalues evaluation of optimal model parameters and predicted\ncategories, bootstrap values evaluation of optimal model\nparameters and predicted cross-validated categories. The use of\nthis package is described in Brandolini-Bunlon et al (2019.\nMulti-block PLS discriminant analysis for the joint analysis of\nmetabolomic and epidemiological data. Metabolomics,\n15(10):134).",
  "License": "GPL (>= 2.0)",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-11 06:42:29 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2022-06-20 15:00:02 UTC",
  "RemoteUrl": "https://github.com/cran/packMBPLSDA",
  "RemoteRef": "HEAD",
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  "MD5sum": "bea812d4966f9b515f84a8e44a3854e7",
  "_user": "cran",
  "_type": "src",
  "_file": "packMBPLSDA_0.9.0.tar.gz",
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  "_created": "2026-05-11T06:42:29.000Z",
  "_published": "2026-05-22T11:53:18.347Z",
  "_distro": "noble",
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    "author": "Marion Brandolini-Bunlon <marion.brandolini-bunlon@inra.fr>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.9.0\n",
    "time": 1655737202
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  "_maintainer": {
    "name": "Marion Brandolini-Bunlon",
    "email": "marion.brandolini-bunlon@inra.fr"
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  "_dependencies": [
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      "package": "ade4",
      "role": "Depends"
    },
    {
      "package": "pROC",
      "role": "Depends"
    },
    {
      "package": "MASS",
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    },
    {
      "package": "parallel",
      "role": "Imports"
    },
    {
      "package": "doParallel",
      "role": "Imports"
    },
    {
      "package": "foreach",
      "role": "Imports"
    },
    {
      "package": "FactoMineR",
      "role": "Imports"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_userbio": {
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    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/packMBPLSDA"
  },
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  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/packMBPLSDA.html",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
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      "version": "0.6",
      "date": "2019-05-16"
    },
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      "date": "2020-03-15"
    },
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      "date": "2022-06-20"
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  ],
  "_exports": [
    "boot_mbplsda",
    "cvpred_mbplsda",
    "disjunctive",
    "mbplsda",
    "permut_mbplsda",
    "plot_boot_mbplsda",
    "plot_cvpred_mbplsda",
    "plot_permut_mbplsda",
    "plot_pred_mbplsda",
    "plot_testdim_mbplsda",
    "pred_mbplsda",
    "testdim_mbplsda"
  ],
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      "name": "medical",
      "title": "medical dataset",
      "object": "medical",
      "file": "medical.rda",
      "class": [
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      ],
      "fields": [
        "medic1",
        "medic2",
        "medic3",
        "medic4",
        "medic5",
        "medic6",
        "medic7",
        "medic8",
        "medic9",
        "medic10",
        "medic11",
        "medic12",
        "medic13",
        "medic14",
        "medic15",
        "medic16",
        "medic17",
        "medic18"
      ],
      "rows": 40,
      "table": true,
      "tojson": true
    },
    {
      "name": "nutrition",
      "title": "nutritional dataset",
      "object": "nutrition",
      "file": "nutrition.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "nutri1",
        "nutri2",
        "nutri3",
        "nutri4",
        "nutri5",
        "nutri6",
        "nutri7",
        "nutri8",
        "nutri9",
        "nutri10",
        "nutri11",
        "nutri12",
        "nutri13",
        "nutri14",
        "nutri15",
        "nutri16",
        "nutri17",
        "nutri18",
        "nutri19",
        "nutri20",
        "nutri21",
        "nutri22",
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        "nutri24",
        "nutri25",
        "nutri26",
        "nutri27",
        "nutri28",
        "nutri29",
        "nutri30",
        "nutri31",
        "nutri32",
        "nutri33"
      ],
      "rows": 40,
      "table": true,
      "tojson": true
    },
    {
      "name": "omics",
      "title": "metabolomic dataset",
      "object": "omics",
      "file": "omics.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "omic1",
        "omic2",
        "omic3",
        "omic4",
        "omic5",
        "omic6",
        "omic7",
        "omic8",
        "omic9",
        "omic10",
        "omic11",
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        "omic45",
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      ],
      "rows": 40,
      "table": true,
      "tojson": true
    },
    {
      "name": "status",
      "title": "physiopathological status data",
      "object": "status",
      "file": "status.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "status"
      ],
      "rows": 40,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "packMBPLSDA-package",
      "title": "Multi-Block Partial Least Squares Discriminant Analysis",
      "topics": [
        "packMBPLSDA-package",
        "packMBPLSDA"
      ]
    },
    {
      "page": "boot_mbplsda",
      "title": "bootstraped simulations for multi-block partial least squares discriminant analysis",
      "topics": [
        "boot_mbplsda"
      ]
    },
    {
      "page": "cvpred_mbplsda",
      "title": "Cross-validated predicted categories from a multi-block partial least squares discriminant model",
      "topics": [
        "cvpred_mbplsda"
      ]
    },
    {
      "page": "disjunctive",
      "title": "Disjunctive table",
      "topics": [
        "disjunctive"
      ]
    },
    {
      "page": "ginv",
      "title": "generalized inverse of a matrix X",
      "topics": [
        "ginv"
      ]
    },
    {
      "page": "inertie",
      "title": "inertia of a matrix",
      "topics": [
        "inertie"
      ]
    },
    {
      "page": "mbplsda",
      "title": "Multi-block partial least squares discriminant analysis",
      "topics": [
        "mbplsda"
      ]
    },
    {
      "page": "medical",
      "title": "medical dataset",
      "topics": [
        "medical"
      ]
    },
    {
      "page": "nutrition",
      "title": "nutritional dataset",
      "topics": [
        "nutrition"
      ]
    },
    {
      "page": "omics",
      "title": "metabolomic dataset",
      "topics": [
        "omics"
      ]
    },
    {
      "page": "permut_mbplsda",
      "title": "Permutation testing of a multi-block partial least squares discriminant model",
      "topics": [
        "permut_mbplsda"
      ]
    },
    {
      "page": "plot_boot_mbplsda",
      "title": "Plot the results of the fonction boot_mbplsda in a pdf file",
      "topics": [
        "plot_boot_mbplsda"
      ]
    },
    {
      "page": "plot_cvpred_mbplsda",
      "title": "Plot the results of the fonction cvpred_mbplsda in a pdf file",
      "topics": [
        "plot_cvpred_mbplsda"
      ]
    },
    {
      "page": "plot_permut_mbplsda",
      "title": "Plot the results of the fonction permut_mbplsda in a pdf file",
      "topics": [
        "plot_permut_mbplsda"
      ]
    },
    {
      "page": "plot_pred_mbplsda",
      "title": "Plot the results of the fonction pred_mbplsda in a pdf file",
      "topics": [
        "plot_pred_mbplsda"
      ]
    },
    {
      "page": "plot_testdim_mbplsda",
      "title": "Plot the results of the fonction testdim_mbplsda in a pdf file",
      "topics": [
        "plot_testdim_mbplsda"
      ]
    },
    {
      "page": "pred_mbplsda",
      "title": "Observed parameters and predicted categories from a multi-block partial least squares discriminant model",
      "topics": [
        "pred_mbplsda"
      ]
    },
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      "page": "status",
      "title": "physiopathological status data",
      "topics": [
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      ]
    },
    {
      "page": "testdim_mbplsda",
      "title": "Test of number of components by two-fold cross-validation for a multi-block partial least squares discriminant model",
      "topics": [
        "testdim_mbplsda"
      ]
    }
  ],
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