{
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  "Package": "DevTreatRules",
  "Type": "Package",
  "Title": "Develop Treatment Rules with Observational Data",
  "Version": "1.1.0",
  "Authors@R": "c(person(\"Jeremy\", \"Roth\", email = \"jhroth@uw.edu\", role=c(\"cre\", \"aut\")),\nperson(\"Noah\", \"Simon\", email = \"nrsimon@uw.edu\", role=\"aut\"))",
  "Description": "Develop and evaluate treatment rules based on: (1) the\nstandard indirect approach of split-regression, which fits\nregressions separately in both treatment groups and assigns an\nindividual to the treatment option under which predicted\noutcome is more desirable; (2) the direct approach of\noutcome-weighted-learning proposed by Yingqi Zhao, Donglin\nZeng, A. John Rush, and Michael Kosorok (2012)\n<doi:10.1080/01621459.2012.695674>; (3) the direct approach,\nwhich we refer to as direct-interactions, proposed by Shuai\nChen, Lu Tian, Tianxi Cai, and Menggang Yu (2017)\n<doi:10.1111/biom.12676>. Please see the vignette for a\nwalk-through of how to start with an observational dataset\nwhose design is understood scientifically and end up with a\ntreatment rule that is trustworthy statistically, along with an\nestimation of rule benefit in an independent sample.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
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  "RoxygenNote": "7.0.2",
  "VignetteBuilder": "knitr",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-15 07:43:32 UTC",
    "User": "root"
  },
  "Author": "Jeremy Roth [cre, aut], Noah Simon [aut]",
  "Maintainer": "Jeremy Roth <jhroth@uw.edu>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2020-03-20 16:40:05 UTC",
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    "name": "Jeremy Roth",
    "email": "jhroth@uw.edu"
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    },
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    },
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      "package": "dplyr",
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  "_assets": [
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    "extra/citation.json",
    "extra/citation.txt",
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    "extra/NEWS.html",
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      "date": "2019-05-16"
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  "_exports": [
    "BuildRule",
    "CompareRulesOnValidation",
    "EvaluateRule",
    "PredictRule",
    "SplitData"
  ],
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    {
      "name": "obsStudyGeneExpressions",
      "title": "Simulated dataset for package 'DevTreatRule'",
      "object": "obsStudyGeneExpressions",
      "class": [
        "data.frame"
      ],
      "fields": [
        "no_relapse",
        "intervention",
        "prognosis",
        "clinic",
        "age",
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        "gene_2",
        "gene_3",
        "gene_4",
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    }
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  "_help": [
    {
      "page": "BuildRule",
      "title": "Build a Treatment Rule",
      "topics": [
        "BuildRule"
      ]
    },
    {
      "page": "CompareRulesOnValidation",
      "title": "Build treatment rules on a development dataset and evaluate performance on an independent validation dataset",
      "topics": [
        "CompareRulesOnValidation"
      ]
    },
    {
      "page": "EvaluateRule",
      "title": "Evaluate a Treatment Rule",
      "topics": [
        "EvaluateRule"
      ]
    },
    {
      "page": "obsStudyGeneExpressions",
      "title": "Simulated dataset for package 'DevTreatRule'",
      "topics": [
        "obsStudyGeneExpressions"
      ]
    },
    {
      "page": "PredictRule",
      "title": "Get the treatment rule implied by 'BuildRule()'",
      "topics": [
        "PredictRule"
      ]
    },
    {
      "page": "SplitData",
      "title": "Partition a dataset into independent subsets",
      "topics": [
        "SplitData"
      ]
    }
  ],
  "_rundeps": [
    "codetools",
    "dfoptim",
    "DynTxRegime",
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    "kernlab",
    "lattice",
    "Matrix",
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    {
      "source": "my-vignette.Rmd",
      "filename": "my-vignette.html",
      "title": "Using DevTreatRules",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Split the Dataset",
        "Specify Variable Roles",
        "On the Development Dataset, Build the Treatment Rule",
        "On the Validation Dataset, Perform Model Selection",
        "On the Evaluation Dataset, Evaluate the Selected Rules",
        "References"
      ],
      "created": "2019-05-16 10:20:07",
      "modified": "2019-05-16 10:20:07",
      "commits": 1
    }
  ],
  "_score": 2,
  "_indexed": true,
  "_nocasepkg": "devtreatrules",
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