{
  "_id": "6a22923dcd65a98ecbd55d1a",
  "Package": "StatMatch",
  "Version": "1.4.3",
  "Date": "2025-01-08",
  "Title": "Statistical Matching or Data Fusion",
  "Authors@R": "person(given = \"Marcello\",\nfamily = \"D'Orazio\",\nrole = c(\"aut\", \"cre\"),\nemail = \"mdo.statmatch@gmail.com\")",
  "Author": "Marcello D'Orazio [aut, cre]",
  "Maintainer": "Marcello D'Orazio <mdo.statmatch@gmail.com>",
  "Description": "Integration of two data sources referred to the same\ntarget population which share a number of variables. Some\nfunctions can also be used to impute missing values in data\nsets through hot deck imputation methods. Methods to perform\nstatistical matching when dealing with data from complex sample\nsurveys are available too.",
  "License": "GPL (>= 2)",
  "URL": "https://github.com/marcellodo/StatMatch,\nhttps://github.com/marcellodo/StatMatch/tree/master/Tutorials_Vignette_OtherDocs",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-05 09:05:36 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-01-08 22:35:01 UTC",
  "RemoteUrl": "https://github.com/cran/StatMatch",
  "RemoteRef": "HEAD",
  "RemoteSha": "3cfab59911e031a2f8fe5802c1f75532d0e6d8e4",
  "MD5sum": "c3a2bf4ecdef9014a2589bbf2d69143b",
  "_user": "cran",
  "_type": "src",
  "_file": "StatMatch_1.4.3.tar.gz",
  "_fileid": "be7219aeda75699c004a8acf2a1e5d7c76e70b4029b3080eb361399f87674c4a",
  "_filesize": 759178,
  "_sha256": "be7219aeda75699c004a8acf2a1e5d7c76e70b4029b3080eb361399f87674c4a",
  "_created": "2026-06-05T09:05:36.000Z",
  "_published": "2026-06-05T09:09:17.755Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79697611812,
      "time": 163,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7432931028"
    },
    {
      "job": 79697611857,
      "time": 169,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7432932698"
    },
    {
      "job": 79696997099,
      "time": 239,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7432878151"
    },
    {
      "job": 79697611881,
      "time": 124,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7432918682"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/27005795569",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cran/StatMatch",
  "_commit": {
    "id": "3cfab59911e031a2f8fe5802c1f75532d0e6d8e4",
    "author": "Marcello D'\"'\"'Orazio <mdo.statmatch@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.4.3\n",
    "time": 1736375701
  },
  "_maintainer": {
    "name": "Marcello DOrazio",
    "email": "mdo.statmatch@gmail.com"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 2.7.0",
      "role": "Depends"
    },
    {
      "package": "proxy",
      "role": "Depends"
    },
    {
      "package": "survey",
      "role": "Depends"
    },
    {
      "package": "lpSolve",
      "role": "Depends"
    },
    {
      "package": "ggplot2",
      "role": "Depends"
    },
    {
      "package": "dplyr",
      "role": "Depends"
    },
    {
      "package": "Hmisc",
      "role": "Suggests"
    },
    {
      "package": "MASS",
      "role": "Suggests"
    },
    {
      "package": "mipfp",
      "role": "Suggests"
    },
    {
      "package": "clue",
      "role": "Suggests"
    },
    {
      "package": "RANN",
      "role": "Suggests"
    },
    {
      "package": "randomForest",
      "role": "Suggests"
    },
    {
      "package": "nnet",
      "role": "Suggests"
    },
    {
      "package": "glmnet",
      "role": "Suggests"
    },
    {
      "package": "naivebayes",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 12,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_contributors": [
    {
      "user": "marcellodo",
      "count": 16,
      "uuid": 20279107
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 1173,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/StatMatch"
  },
  "_mentions": 11,
  "_devurl": "https://github.com/marcellodo/statmatch",
  "_searchresults": 245,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/StatMatch.html",
    "manual.pdf"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.4",
      "date": "2008-10-10"
    },
    {
      "version": "0.5",
      "date": "2008-11-13"
    },
    {
      "version": "0.6",
      "date": "2009-02-01"
    },
    {
      "version": "0.7",
      "date": "2009-06-18"
    },
    {
      "version": "0.8",
      "date": "2009-09-13"
    },
    {
      "version": "1.0.1",
      "date": "2011-03-12"
    },
    {
      "version": "1.0.2",
      "date": "2011-07-04"
    },
    {
      "version": "1.0.3",
      "date": "2011-10-20"
    },
    {
      "version": "1.0.4",
      "date": "2012-03-21"
    },
    {
      "version": "1.0.5",
      "date": "2012-04-04"
    },
    {
      "version": "1.1.0",
      "date": "2012-07-27"
    },
    {
      "version": "1.2.0",
      "date": "2012-12-03"
    },
    {
      "version": "1.2.1",
      "date": "2013-12-29"
    },
    {
      "version": "1.2.2",
      "date": "2014-06-19"
    },
    {
      "version": "1.2.3",
      "date": "2015-01-29"
    },
    {
      "version": "1.2.4",
      "date": "2016-01-13"
    },
    {
      "version": "1.2.5",
      "date": "2017-01-09"
    },
    {
      "version": "1.3.0",
      "date": "2019-03-15"
    },
    {
      "version": "1.4.0",
      "date": "2020-07-16"
    },
    {
      "version": "1.4.1",
      "date": "2022-03-01"
    },
    {
      "version": "1.4.2",
      "date": "2024-05-13"
    },
    {
      "version": "1.4.3",
      "date": "2025-01-08"
    }
  ],
  "_exports": [
    "comb.samples",
    "comp.cont",
    "comp.prop",
    "create.fused",
    "create.imputed",
    "fact2dummy",
    "Fbounds.pred",
    "Fbwidths.by.x",
    "Frechet.bounds.cat",
    "gower.dist",
    "harmonize.x",
    "mahalanobis.dist",
    "maximum.dist",
    "mixed.mtc",
    "NND.hotdeck",
    "pBayes",
    "plotBounds",
    "plotCont",
    "plotTab",
    "pw.assoc",
    "RANDwNND.hotdeck",
    "rankNND.hotdeck",
    "rho.bounds",
    "rho.bounds.pred",
    "selMtc.by.unc"
  ],
  "_datasets": [
    {
      "name": "samp.A",
      "title": "Artificial data set resembling EU-SILC survey",
      "object": "samp.A",
      "file": "samp.A.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "HH.P.id",
        "area5",
        "urb",
        "hsize",
        "hsize5",
        "age",
        "c.age",
        "sex",
        "marital",
        "edu7",
        "n.income",
        "c.neti",
        "ww"
      ],
      "rows": 3009,
      "table": true,
      "tojson": true
    },
    {
      "name": "samp.B",
      "title": "Artificial data set resembling EU-SILC survey",
      "object": "samp.B",
      "file": "samp.B.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "HH.P.id",
        "area5",
        "urb",
        "hsize",
        "hsize5",
        "age",
        "c.age",
        "sex",
        "marital",
        "edu7",
        "labour5",
        "ww"
      ],
      "rows": 6686,
      "table": true,
      "tojson": true
    },
    {
      "name": "samp.C",
      "title": "Artificial data set resembling EU-SILC survey",
      "object": "samp.C",
      "file": "samp.C.rda",
      "class": [
        "data.frame"
      ],
      "fields": [
        "HH.P.id",
        "area5",
        "urb",
        "hsize",
        "hsize5",
        "age",
        "c.age",
        "sex",
        "marital",
        "edu7",
        "labour5",
        "n.income",
        "c.neti",
        "ww"
      ],
      "rows": 980,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "StatMatch-package",
      "title": "Statistical Matching or Data Fusion",
      "topics": [
        "StatMatch-package",
        "StatMatch"
      ]
    },
    {
      "page": "comb.samples",
      "title": "Statistical Matching of data from complex sample surveys",
      "topics": [
        "comb.samples"
      ]
    },
    {
      "page": "comp.cont",
      "title": "Compares two distributions of the same continuous variable",
      "topics": [
        "comp.cont"
      ]
    },
    {
      "page": "comp.prop",
      "title": "Compares two distributions of the same categorical variable",
      "topics": [
        "comp.prop"
      ]
    },
    {
      "page": "create.fused",
      "title": "Creates a matched (synthetic) dataset",
      "topics": [
        "create.fused"
      ]
    },
    {
      "page": "create.imputed",
      "title": "Fills-in missing values in the recipient dataset with values observed on the donors units",
      "topics": [
        "create.imputed"
      ]
    },
    {
      "page": "fact2dummy",
      "title": "Transforms a categorical variable in a set of dummy variables",
      "topics": [
        "fact2dummy"
      ]
    },
    {
      "page": "Fbounds.pred",
      "title": "Estimates Frechet bounds for cells in the contingency table crossing two categorical variables observed in distinct samples referred to the same target population.",
      "topics": [
        "Fbounds.pred"
      ]
    },
    {
      "page": "Fbwidths.by.x",
      "title": "Computes the Frechet bounds of cells in a contingency table by considering all the possible subsets of the common variables.",
      "topics": [
        "Fbwidths.by.x"
      ]
    },
    {
      "page": "Frechet.bounds.cat",
      "title": "Frechet bounds of cells in a contingency table",
      "topics": [
        "Frechet.bounds.cat"
      ]
    },
    {
      "page": "gower.dist",
      "title": "Computes the Gower's Distance",
      "topics": [
        "gower.dist"
      ]
    },
    {
      "page": "harmonize.x",
      "title": "Harmonizes the marginal (joint) distribution of a set of variables observed independently in two sample surveys referred to the same target population",
      "topics": [
        "harmonize.x"
      ]
    },
    {
      "page": "mahalanobis.dist",
      "title": "Computes the Mahalanobis Distance",
      "topics": [
        "mahalanobis.dist"
      ]
    },
    {
      "page": "maximum.dist",
      "title": "Computes the Maximum Distance",
      "topics": [
        "maximum.dist"
      ]
    },
    {
      "page": "mixed.mtc",
      "title": "Statistical Matching via Mixed Methods",
      "topics": [
        "mixed.mtc"
      ]
    },
    {
      "page": "NND.hotdeck",
      "title": "Distance Hot Deck method.",
      "topics": [
        "NND.hotdeck"
      ]
    },
    {
      "page": "pBayes",
      "title": "Pseudo-Bayes estimates of cell probabilities",
      "topics": [
        "pBayes"
      ]
    },
    {
      "page": "plotBounds",
      "title": "Graphical representation of the uncertainty bounds estimated through the 'Frechet.bounds.cat' function",
      "topics": [
        "plotBounds"
      ]
    },
    {
      "page": "plotCont",
      "title": "graphical comparison of the estimated distributions for the same continuous variable.",
      "topics": [
        "plotCont"
      ]
    },
    {
      "page": "plotTab",
      "title": "Graphical comparison of the estimated distributions for the same categorical variable.",
      "topics": [
        "plotTab"
      ]
    },
    {
      "page": "pw.assoc",
      "title": "Pairwise measures between categorical variables",
      "topics": [
        "pw.assoc"
      ]
    },
    {
      "page": "RANDwNND.hotdeck",
      "title": "Random Distance hot deck.",
      "topics": [
        "RANDwNND.hotdeck"
      ]
    },
    {
      "page": "rankNND.hotdeck",
      "title": "Rank distance hot deck method.",
      "topics": [
        "rankNND.hotdeck"
      ]
    },
    {
      "page": "rho.bounds",
      "title": "Estimates plausible values of the Pearson's correlation coefficient between two variables observed in distinct samples referred to the same target population.",
      "topics": [
        "rho.bounds"
      ]
    },
    {
      "page": "rho.bounds.pred",
      "title": "Estimates plausible values of the Pearson's correlation coefficient between two variables observed in distinct samples referred to the same target population.",
      "topics": [
        "rho.bounds.pred"
      ]
    },
    {
      "page": "samp.A",
      "title": "Artificial data set resembling EU-SILC survey",
      "topics": [
        "samp.A"
      ]
    },
    {
      "page": "samp.B",
      "title": "Artificial data set resembling EU-SILC survey",
      "topics": [
        "samp.B"
      ]
    },
    {
      "page": "samp.C",
      "title": "Artificial data set resembling EU-SILC survey",
      "topics": [
        "samp.C"
      ]
    },
    {
      "page": "SelMtc.by.unc",
      "title": "Identifies the best combination if matching variables in reducing uncertainty in estimation the contingency table Y vs. Z.",
      "topics": [
        "selMtc.by.unc"
      ]
    }
  ],
  "_rundeps": [
    "cli",
    "cpp11",
    "DBI",
    "dplyr",
    "farver",
    "generics",
    "ggplot2",
    "glue",
    "gtable",
    "isoband",
    "labeling",
    "lattice",
    "lifecycle",
    "lpSolve",
    "magrittr",
    "Matrix",
    "minqa",
    "mitools",
    "numDeriv",
    "pillar",
    "pkgconfig",
    "proxy",
    "R6",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "rlang",
    "S7",
    "scales",
    "survey",
    "survival",
    "tibble",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_score": 5.014766597247348,
  "_indexed": true,
  "_nocasepkg": "statmatch",
  "_universes": [
    "cran",
    "marcellodo"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.4.3",
      "date": "2026-06-05T09:08:05.000Z",
      "distro": "noble",
      "commit": "3cfab59911e031a2f8fe5802c1f75532d0e6d8e4",
      "fileid": "fa171f00c56bf5b7c17fb95d7851d3d4a7d1199f0e8ea7aed62b2d2df4da1443",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27005795569"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.4.3",
      "date": "2026-06-05T09:08:09.000Z",
      "distro": "noble",
      "commit": "3cfab59911e031a2f8fe5802c1f75532d0e6d8e4",
      "fileid": "ae42086eb1b3370457354f1b945e98e098eabc8f91e00e427800f411ac565014",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27005795569"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.4.3",
      "date": "2026-06-05T09:08:13.000Z",
      "commit": "3cfab59911e031a2f8fe5802c1f75532d0e6d8e4",
      "fileid": "5e2bf8142ea229d7c96fdb4da0725003881106645368298c61dec4c20bc90965",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/27005795569"
    }
  ]
}