{
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  "Package": "matchMulti",
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  "Title": "Optimal Multilevel Matching using a Network Algorithm",
  "Version": "1.1.14",
  "Date": "2025-4-17",
  "Authors@R": "c(\nperson(\"Luke\", \"Keele\",, \"luke.keele@gmail.com\", c(\"aut\")),\nperson(\"Luke\", \"Miratrix\",, \"luke_miratrix@gse.harvard.edu\", c(\"aut\")),\nperson(\"Sam\", \"Pimentel\",, \"spi@berkeley.edu\", c(\"aut\", \"cre\")),\nperson(\"Paul\", \"Rosenbaum\",,, c(\"ctb\"))\n)",
  "Maintainer": "Sam Pimentel <spi@berkeley.edu>",
  "Description": "Performs multilevel matches for data with cluster- level\ntreatments and individual-level outcomes using a network\noptimization algorithm.  Functions for checking balance at the\ncluster and individual levels are also provided, as are methods\nfor permutation-inference-based outcome analysis.  Details in\nPimentel et al. (2018) <doi:10.1214/17-AOAS1118>.  The optmatch\npackage, which is useful for running many of the provided\nfunctions, may be downloaded from Github at\n<https://github.com/markmfredrickson/optmatch> if not available\non CRAN.",
  "Additional_repositories": "https://errickson.net/rrelaxiv/",
  "License": "MIT + file LICENSE",
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  "Packaged": {
    "Date": "2026-05-31 06:47:36 UTC",
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  "Author": "Luke Keele [aut], Luke Miratrix [aut], Sam Pimentel [aut, cre],\nPaul Rosenbaum [ctb]",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2025-04-18 06:43:20 UTC",
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      "date": "2016-02-19"
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      "date": "2016-02-26"
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    "buildCaliper",
    "ci_func",
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    "elastic",
    "handleNA",
    "is.binary",
    "is.matchMultiResult",
    "match2distance",
    "matchMulti",
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    "rematchSchools",
    "resolve.cols",
    "sdiff",
    "smahal",
    "students2schools",
    "tally_schools"
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      "title": "1980 and 1982 High School and Beyond Data",
      "object": "catholic_schools",
      "file": "catholic_schools.RData",
      "class": [
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        "ses",
        "mathach",
        "female",
        "minority",
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        "female_mean",
        "ses_mean",
        "sector",
        "size",
        "acad",
        "discrm"
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      "object": "minischool",
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      "class": [
        "data.frame"
      ],
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        "ses",
        "mathach",
        "female",
        "minority",
        "minority_mean",
        "female_mean",
        "ses_mean",
        "sector",
        "size",
        "acad",
        "discrm"
      ],
      "rows": 1500,
      "table": true,
      "tojson": true
    }
  ],
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    {
      "page": "balanceMulti",
      "title": "Performs balance checking after multilevel matching.",
      "topics": [
        "balanceMulti"
      ]
    },
    {
      "page": "buildCaliper",
      "title": "Construct propensity score caliper",
      "topics": [
        "buildCaliper"
      ]
    },
    {
      "page": "catholic_schools",
      "title": "1980 and 1982 High School and Beyond Data",
      "topics": [
        "catholic_schools"
      ]
    },
    {
      "page": "describe_data_counts",
      "title": "Print out summary of student and school counts",
      "topics": [
        "describe_data_counts"
      ]
    },
    {
      "page": "pairmatchelastic",
      "title": "Optimal Subset Matching without Balance Constraints",
      "topics": [
        "elastic",
        "pairmatchelastic"
      ]
    },
    {
      "page": "matchMulti",
      "title": "A function that performs multilevel matching.",
      "topics": [
        "matchMulti"
      ]
    },
    {
      "page": "matchMultioutcome",
      "title": "Performs an outcome analysis after multilevel matching.",
      "topics": [
        "matchMultioutcome"
      ]
    },
    {
      "page": "matchMultiResult",
      "title": "matchMultiResult object for results of power calculations",
      "topics": [
        "is.matchMultiResult",
        "matchMultiResult",
        "print.matchMultiResult",
        "summary.matchMultiResult"
      ]
    },
    {
      "page": "matchMultisens",
      "title": "Rosenbaum Bounds after Multilevel Matching",
      "topics": [
        "matchMultisens"
      ]
    },
    {
      "page": "minischool",
      "title": "Mini-data set for illustration",
      "topics": [
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      ]
    },
    {
      "page": "rematchSchools",
      "title": "Repeat School Match Only",
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    },
    {
      "page": "tally_schools",
      "title": "Tally schools and students in a given dataset",
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