{
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  "Package": "missRows",
  "Type": "Package",
  "Title": "Handling Missing Individuals in Multi-Omics Data Integration",
  "Version": "1.33.0",
  "Date": "2022-01-14",
  "Author": "Ignacio Gonzalez and Valentin Voillet",
  "Maintainer": "Gonzalez Ignacio <ignacio.gonzalez@bbox.fr>",
  "Description": "The missRows package implements the MI-MFA method to deal\nwith missing individuals ('biological units') in multi-omics\ndata integration. The MI-MFA method generates multiple imputed\ndatasets from a Multiple Factor Analysis model, then the yield\nresults are combined in a single consensus solution. The\npackage provides functions for estimating coordinates of\nindividuals and variables, imputing missing individuals, and\nvarious diagnostic plots to inspect the pattern of missingness\nand visualize the uncertainty due to missing values.",
  "License": "Artistic-2.0",
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  "Date/Publication": "2026-04-28 12:47:42 UTC",
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    {
      "page": "missRows-package",
      "title": "Handling Missing Individuals in Multi-Omics Data Integration",
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        "missRows-package",
        "missRows"
      ]
    },
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      "page": "eigenvalue",
      "title": "Scaled Firts Singular Value of the SVD of a Matrix",
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      ]
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      "page": "estimNC",
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      "page": "imputeDataMFA",
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