{
  "_id": "6a1eda28b401979e7340f4e6",
  "Package": "madr",
  "Type": "Package",
  "Title": "Model Averaged Double Robust Estimation",
  "Version": "1.0.0",
  "Author": "Matthew Cefalu",
  "Maintainer": "Matthew Cefalu <Matthew_Cefalu@rand.org>",
  "Description": "Estimates average treatment effects using model average\ndouble robust (MA-DR) estimation. The MA-DR estimator is\ndefined as weighted average of double robust estimators, where\neach double robust estimator corresponds to a specific choice\nof the outcome model and the propensity score model. The MA-DR\nestimator extend the desirable double robustness property by\nachieving consistency under the much weaker assumption that\neither the true propensity score model or the true outcome\nmodel be within a specified, possibly large, class of models.",
  "License": "GPL-3",
  "RoxygenNote": "5.0.1",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-20 09:11:42 UTC",
    "User": "root"
  },
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2016-09-05 20:23:43 UTC",
  "RemoteUrl": "https://github.com/cran/madr",
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  "MD5sum": "a8c955376c64a8345a7f0771d71693f6",
  "_user": "cran",
  "_type": "src",
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  "_upstream": "https://github.com/cran/madr",
  "_commit": {
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    "author": "Matthew Cefalu <Matthew_Cefalu@rand.org>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 1.0.0\n",
    "time": 1473107023
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  "_maintainer": {
    "name": "Matthew Cefalu",
    "email": "matthew_cefalu@rand.org"
  },
  "_registered": true,
  "_dependencies": [],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 0,
  "_userbio": {
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    "type": "organization",
    "name": "cran",
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
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    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/madr"
  },
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  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/madr.html",
    "manual.pdf"
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  "_realowner": "cran",
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      "date": "2016-09-02"
    },
    {
      "version": "1.0.0",
      "date": "2016-09-05"
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  ],
  "_exports": [
    "add.to.dictionary",
    "add.to.dictionary.outcome",
    "bic.to.prob",
    "expit",
    "madr",
    "madr.enumerate",
    "madr.mcmc",
    "OM.MA",
    "OM.MA.enumerate",
    "PS.MA",
    "PS.MA.enumerate"
  ],
  "_help": [
    {
      "page": "add.to.dictionary",
      "title": "Worker function that fits propensity score models",
      "topics": [
        "add.to.dictionary"
      ]
    },
    {
      "page": "add.to.dictionary.outcome",
      "title": "Worker function that fits outcome models",
      "topics": [
        "add.to.dictionary.outcome"
      ]
    },
    {
      "page": "bic.to.prob",
      "title": "Convert BIC to model probabilities",
      "topics": [
        "bic.to.prob"
      ]
    },
    {
      "page": "expit",
      "title": "Expit (inverse logit) function",
      "topics": [
        "expit"
      ]
    },
    {
      "page": "madr",
      "title": "Calculate model averaged double robust estimate",
      "topics": [
        "madr"
      ]
    },
    {
      "page": "madr.enumerate",
      "title": "Model averaged double robust estimate with enumeration of all possible models (linear terms only)",
      "topics": [
        "madr.enumerate"
      ]
    },
    {
      "page": "madr.mcmc",
      "title": "Calculate model averaged double robust estimate using a pseudo-MC3 algorithm",
      "topics": [
        "madr.mcmc"
      ]
    },
    {
      "page": "OM.MA",
      "title": "Calculate model probabilities for the outcome models using a pseudo-MC3 algorithm",
      "topics": [
        "OM.MA"
      ]
    },
    {
      "page": "OM.MA.enumerate",
      "title": "Enumerates all possible outcome models (linear terms only)",
      "topics": [
        "OM.MA.enumerate"
      ]
    },
    {
      "page": "print.madr.enumerate",
      "title": "Print function for madr.enumerate class",
      "topics": [
        "print.madr.enumerate"
      ]
    },
    {
      "page": "print.madr.mcmc",
      "title": "Print function for madr.mcmc class",
      "topics": [
        "print.madr.mcmc"
      ]
    },
    {
      "page": "print.summary.madr.enumerate",
      "title": "Print function for summary.madr.enumerate class",
      "topics": [
        "print.summary.madr.enumerate"
      ]
    },
    {
      "page": "PS.MA",
      "title": "Calculate model probabilities for the propensity score model using a pseudo-MC3 algorithm",
      "topics": [
        "PS.MA"
      ]
    },
    {
      "page": "PS.MA.enumerate",
      "title": "Enumerates all possible propensity score models (linear terms only)",
      "topics": [
        "PS.MA.enumerate"
      ]
    },
    {
      "page": "summary.madr.enumerate",
      "title": "Provides model averaged double robust estimate for different values of tau",
      "topics": [
        "summary.madr.enumerate"
      ]
    }
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  "_score": 1,
  "_indexed": true,
  "_nocasepkg": "madr",
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