{
  "_id": "6ab8c47f99f7aa8c6aa36510",
  "Package": "causalWins",
  "Title": "Compute the Causal Win Ratio Using Nearest Neighbor Matching",
  "Version": "0.1.0",
  "Authors@R": "c(person(given = \"Francisco\",\nfamily = \"Andrade\",\nrole = \"aut\",\n),\nperson(given = \"Mathieu\",\nfamily = \"Even\",\nrole = c(\"aut\", \"cre\"),\nemail = \"mathieu.even@inria.fr\",\n),\nperson(given = \"Julie\",\nfamily = \"Josse\",\nrole = \"aut\"))",
  "Description": "Based on “Rethinking the Win Ratio: A Causal Framework for\nHierarchical Outcome Analysis” (M. Even and J. Josse, 2025),\nthis package provides implementations of three approaches -\nnearest neighbor matching, distributional regression forests,\nand efficient influence functions - to estimate the causal win\nratio, win proportion, and net benefit.",
  "Encoding": "UTF-8",
  "License": "AGPL (>= 3)",
  "RoxygenNote": "7.3.3",
  "VignetteBuilder": "knitr",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-09-27 07:20:05 UTC",
    "User": "root"
  },
  "Author": "Francisco Andrade [aut], Mathieu Even [aut, cre], Julie Josse\n[aut]",
  "Maintainer": "Mathieu Even <mathieu.even@inria.fr>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-04-21 19:42:10 UTC",
  "RemoteUrl": "https://github.com/cran/causalWins",
  "RemoteRef": "HEAD",
  "RemoteSha": "a94b78aee9398e83092818661d362ee5687d715e",
  "_user": "cran",
  "_type": "src",
  "_file": "causalWins_0.1.0.tar.gz",
  "_fileid": "https://r2.ropensci.org/322e4788b3294b690df9e87b8fddcd0d9092e2e9c5fed899a35f0f34252092e8",
  "_filesize": 403504,
  "_sha256": "322e4788b3294b690df9e87b8fddcd0d9092e2e9c5fed899a35f0f34252092e8",
  "_expires": "2027-01-05T07:23:41.000Z",
  "_created": "2026-09-27T07:20:05.000Z",
  "_published": "2026-09-27T07:23:43.694Z",
  "_jobs": [
    {
      "job": 108573492715,
      "time": 158,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "10926382716"
    },
    {
      "job": 108573492712,
      "time": 161,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10925878869"
    },
    {
      "job": 108572993179,
      "time": 205,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10926426391"
    },
    {
      "job": 108573492684,
      "time": 182,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "10926596010"
    },
    {
      "job": 108573492743,
      "time": 81,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "10925804071"
    },
    {
      "job": 108573492710,
      "time": 86,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "10925574334"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/36302598136",
  "_status": "success",
  "_upstream": "https://github.com/cran/causalWins",
  "_commit": {
    "id": "a94b78aee9398e83092818661d362ee5687d715e",
    "author": "Mathieu Even <mathieu.even@inria.fr>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.1.0\n",
    "time": 1776800530
  },
  "_maintainer": {
    "name": "Mathieu Even",
    "email": "mathieu.even@inria.fr"
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "drf",
      "role": "Imports"
    },
    {
      "package": "FactoMineR",
      "role": "Imports"
    },
    {
      "package": "grf",
      "role": "Imports"
    },
    {
      "package": "MatchIt",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "WINS",
      "role": "Suggests"
    },
    {
      "package": "MASS",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-17",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "0.1.0",
      "date": "2026-04-21"
    }
  ],
  "_stars": 0,
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 630,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 355,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/causalWins"
  },
  "_searchresults": 0,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/causalWins.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_realowner": "cran",
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2026-04-21"
    }
  ],
  "_exports": [
    "drf_win_ratio",
    "eif_win_ratio",
    "nn_win_ratio"
  ],
  "_help": [
    {
      "page": "drf_win_ratio",
      "title": "Win/Loss Ratios with Distributional Random Forests",
      "topics": [
        "drf_win_ratio"
      ]
    },
    {
      "page": "eif_win_ratio",
      "title": "Win/Loss Ratios with Efficient Influence Functions",
      "topics": [
        "eif_win_ratio"
      ]
    },
    {
      "page": "nn_win_ratio",
      "title": "Win/Loss Ratios with Nearest Neighbor Matching",
      "topics": [
        "nn_win_ratio"
      ]
    }
  ],
  "_readme": "https://github.com/cran/causalWins/raw/HEAD/README.md",
  "_rundeps": [
    "abind",
    "arg",
    "backports",
    "base64enc",
    "boot",
    "broom",
    "bslib",
    "cachem",
    "car",
    "carData",
    "cli",
    "cluster",
    "colorspace",
    "cowplot",
    "cpp11",
    "crosstalk",
    "data.table",
    "Deriv",
    "DiceKriging",
    "digest",
    "doBy",
    "dplyr",
    "drf",
    "DT",
    "ellipse",
    "emmeans",
    "estimability",
    "evaluate",
    "FactoMineR",
    "farver",
    "fastDummies",
    "fastmap",
    "flashClust",
    "fontawesome",
    "forecast",
    "Formula",
    "fracdiff",
    "fs",
    "generics",
    "ggplot2",
    "ggrepel",
    "glue",
    "grf",
    "gtable",
    "highr",
    "htmltools",
    "htmlwidgets",
    "irlba",
    "isoband",
    "jquerylib",
    "jsonlite",
    "knitr",
    "labeling",
    "later",
    "lattice",
    "lazyeval",
    "leaps",
    "lifecycle",
    "lme4",
    "lmtest",
    "magrittr",
    "MASS",
    "MatchIt",
    "Matrix",
    "MatrixModels",
    "memoise",
    "mgcv",
    "mime",
    "minqa",
    "modelr",
    "multcompView",
    "mvtnorm",
    "nlme",
    "nloptr",
    "nnet",
    "numDeriv",
    "otel",
    "pbkrtest",
    "pillar",
    "pkgconfig",
    "promises",
    "purrr",
    "quantreg",
    "R6",
    "rappdirs",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "RcppProgress",
    "Rdpack",
    "reformulas",
    "rlang",
    "rmarkdown",
    "S7",
    "sandwich",
    "sass",
    "scales",
    "scatterplot3d",
    "showtext",
    "showtextdb",
    "SparseM",
    "stringi",
    "stringr",
    "survival",
    "sysfonts",
    "tibble",
    "tidyr",
    "tidyselect",
    "timeDate",
    "tinytex",
    "urca",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr",
    "xfun",
    "yaml",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "vignette_winRatio.Rmd",
      "filename": "vignette_winRatio.html",
      "title": "A Causal Framework for Hierarchical Outcome Analysis",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Description",
        "How to install",
        "Example 1",
        "Example 2",
        "Boxplots",
        "Example 3",
        "Example 4",
        "Approximation of the true causal measure",
        "Plot",
        "Computation of the Confidence Interval for Win Ratio",
        "References"
      ],
      "created": "2026-04-21 19:42:10",
      "modified": "2026-04-21 19:42:10",
      "commits": 1
    }
  ],
  "_score": 2.6989700043360187,
  "_indexed": true,
  "_nocasepkg": "causalwins",
  "_universes": [
    "cran"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-09-27T07:22:39.000Z",
      "distro": "resolute",
      "commit": "a94b78aee9398e83092818661d362ee5687d715e",
      "fileid": "https://r2.ropensci.org/f309a48dd67118d2b7d0f2f4a21e1c67c3f292da9f55fa291bcf76603f11ccd0",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/36302598136"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-09-27T07:22:44.000Z",
      "distro": "resolute",
      "commit": "a94b78aee9398e83092818661d362ee5687d715e",
      "fileid": "https://r2.ropensci.org/8824029d95c6fd2ebd208f80c369d4aa8395d14af009f6ef63ea071e95e175f2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/36302598136"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.0",
      "date": "2026-09-27T07:23:18.000Z",
      "commit": "a94b78aee9398e83092818661d362ee5687d715e",
      "fileid": "https://r2.ropensci.org/2b96334ff82285e5394e99d7ed21a8cb71da240570dc118295059b15503ec12b",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/36302598136"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-09-27T07:21:15.000Z",
      "commit": "a94b78aee9398e83092818661d362ee5687d715e",
      "fileid": "https://r2.ropensci.org/e45ef50457ba37d5da641bbfb7d34eef1d17406ab7f52f4815894313870737e7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/36302598136"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-09-27T07:21:21.000Z",
      "commit": "a94b78aee9398e83092818661d362ee5687d715e",
      "fileid": "https://r2.ropensci.org/abacfe25b8bde30ba9ad9031539b584e29567c43dc5ea71081cfb7ba7de68fa3",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/36302598136"
    }
  ]
}