{
  "_id": "6a1ef52db401979e7341673e",
  "Package": "msma",
  "Type": "Package",
  "Title": "Multiblock Sparse Multivariable Analysis",
  "Version": "3.1",
  "Date": "2024-02-13",
  "Author": "Atsushi Kawaguchi",
  "Maintainer": "Atsushi Kawaguchi <kawa_a24@yahoo.co.jp>",
  "Description": "Several functions can be used to analyze multiblock\nmultivariable data. If the input is a single matrix, then\nprincipal components analysis (PCA) is implemented. If the\ninput is a list of matrices, then multiblock PCA is\nimplemented. If the input is two matrices, for exploratory and\nobjective variables, then partial least squares (PLS) analysis\nis implemented. If the input is two lists of matrices, for\nexploratory and objective variables, then multiblock PLS\nanalysis is implemented. Additionally, if an extra outcome\nvariable is specified, then a supervised version of the methods\nabove is implemented. For each method, sparse modeling is also\nincorporated. Functions for selecting the number of components\nand regularized parameters are also provided.",
  "License": "GPL (>= 2)",
  "VignetteBuilder": "knitr",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-19 06:56:33 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2024-02-15 02:32:59 UTC",
  "RemoteUrl": "https://github.com/cran/msma",
  "RemoteRef": "HEAD",
  "RemoteSha": "2c2de7a3e42d65401f2676e9d6bec97fded3b037",
  "MD5sum": "0685b62126cde28f59cd81981874842d",
  "_user": "cran",
  "_type": "src",
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  "_buildurl": "https://github.com/r-universe/cran/actions/runs/26081272237",
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  "_commit": {
    "id": "2c2de7a3e42d65401f2676e9d6bec97fded3b037",
    "author": "Atsushi Kawaguchi <kawa_a24@yahoo.co.jp>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 3.1\n",
    "time": 1707964379
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  "_maintainer": {
    "name": "Atsushi Kawaguchi",
    "email": "kawa_a24@yahoo.co.jp"
  },
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  "_dependencies": [
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      "package": "R",
      "version": ">= 3.5",
      "role": "Depends"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
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  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 1,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 193,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/msma"
  },
  "_searchresults": 11,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/msma.html",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.7",
      "date": "2016-01-01"
    },
    {
      "version": "1.0",
      "date": "2018-03-01"
    },
    {
      "version": "1.1",
      "date": "2018-05-04"
    },
    {
      "version": "1.2",
      "date": "2019-06-02"
    },
    {
      "version": "2.0",
      "date": "2019-09-01"
    },
    {
      "version": "2.1",
      "date": "2020-02-06"
    },
    {
      "version": "2.2",
      "date": "2021-06-25"
    },
    {
      "version": "3.0",
      "date": "2023-08-25"
    },
    {
      "version": "3.1",
      "date": "2024-02-14"
    }
  ],
  "_exports": [
    "cvmsma",
    "hcmsma",
    "msma",
    "ncompsearch",
    "optparasearch",
    "regparasearch",
    "simdata",
    "strsimdata"
  ],
  "_help": [
    {
      "page": "msma-package",
      "title": "Multiblock Sparse Matrix Analysis Package",
      "topics": [
        "msma-package"
      ]
    },
    {
      "page": "cvmsma",
      "title": "Cross-Validation",
      "topics": [
        "cvmsma"
      ]
    },
    {
      "page": "hcmsma",
      "title": "Hierarchical cluster analysis",
      "topics": [
        "hcmsma"
      ]
    },
    {
      "page": "msma",
      "title": "Multiblock Sparse Partial Least Squares",
      "topics": [
        "msma",
        "msma.default",
        "print.msma"
      ]
    },
    {
      "page": "ncompsearch",
      "title": "Search for Number of Components",
      "topics": [
        "ncompsearch",
        "plot.ncompsearch",
        "print.ncompsearch"
      ]
    },
    {
      "page": "optparasearch",
      "title": "Parameters Search",
      "topics": [
        "optparasearch",
        "print.optparasearch"
      ]
    },
    {
      "page": "plot.msma",
      "title": "Plot msma",
      "topics": [
        "plot.msma"
      ]
    },
    {
      "page": "predict.msma",
      "title": "Prediction",
      "topics": [
        "predict.msma"
      ]
    },
    {
      "page": "regparasearch",
      "title": "Regularized Parameters Search",
      "topics": [
        "print.regparasearch",
        "regparasearch"
      ]
    },
    {
      "page": "simdata",
      "title": "Simulate Data sets",
      "topics": [
        "simdata"
      ]
    },
    {
      "page": "strsimdata",
      "title": "Structured Simulate Data sets",
      "topics": [
        "strsimdata"
      ]
    },
    {
      "page": "summary.msma",
      "title": "Summarizing Fits",
      "concept": [
        "print"
      ],
      "topics": [
        "print.summary.msma",
        "summary.msma"
      ]
    }
  ],
  "_rundeps": [],
  "_vignettes": [
    {
      "source": "msma.Rmd",
      "filename": "msma.html",
      "title": "Example for msma",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Preparation",
        "Getting started",
        "One Component",
        "Two Component",
        "Single Block",
        "Principal Component Analysis (PCA)",
        "Other functions in R for PCA",
        "Sparse PCA",
        "Supervised Sparse PCA",
        "Partial Least Squres (PLS)",
        "Sparse PLS",
        "Supervised Sparse PLS",
        "Multi Block",
        "PCA",
        "Nested Component",
        "PLS",
        "Parameter Selection",
        "Number of Components",
        "Nested",
        "Combined Search"
      ],
      "created": "2018-05-04 02:50:13",
      "modified": "2023-08-25 06:31:48",
      "commits": 6
    }
  ],
  "_score": 2.5185139398778875,
  "_indexed": true,
  "_nocasepkg": "msma",
  "_universes": [
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