{
  "_id": "6acb50a1fe5cc25786e8e091",
  "Package": "bhmbasket",
  "Title": "Bayesian Hierarchical Models for Basket Trials",
  "Version": "1.1.0",
  "Authors@R": "c(\nperson(given = 'Stephan',\nfamily = 'Wojciekowski',\nrole = c('aut', 'cre'),\nemail = 'stephan.wojciekowski@boehringer-ingelheim.com'),\nperson(given = 'Tathagata',\nfamily = 'Chattopadhyay',\nrole = 'aut',\nemail = 'tchattopadhyay6@gmail.com'))",
  "Description": "Provides functions for the evaluation of basket trial\ndesigns with binary endpoints. Operating characteristics of a\nbasket trial design are assessed by simulating trial data\naccording to scenarios, analyzing the data with Bayesian\nhierarchical models (BHMs), and assessing decision\nprobabilities on stratum and trial-level based on Go / No-go\ndecision making. The package is build for high flexibility\nregarding decision rules, number of interim analyses, number of\nstrata, and recruitment. The BHMs proposed by Berry et al.\n(2013) <doi:10.1177/1740774513497539> and Neuenschwander et al.\n(2016) <doi:10.1002/pst.1730>, as well as a model that combines\nboth approaches are implemented. Functions are provided to\nimplement Bayesian decision rules as for example proposed by\nFisch et al. (2015) <doi:10.1177/2168479014533970>. In\naddition, posterior point estimates (mean/median) and credible\nintervals for response rates and some model parameters can be\ncalculated. For simulated trial data, bias and mean squared\nerrors of posterior point estimates for response rates can be\nprovided.",
  "License": "GPL-3",
  "URL": "https://CRAN.R-project.org/package=bhmbasket,\nhttps://github.com/Boehringer-Ingelheim/bhmbasket",
  "BugReports": "https://github.com/Boehringer-Ingelheim/bhmbasket/issues",
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  "Encoding": "UTF-8",
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  "Repository": "https://boehringer-ingelheim.r-universe.dev",
  "Date/Publication": "2026-04-14 11:40:22 UTC",
  "RemoteUrl": "https://github.com/boehringer-ingelheim/bhmbasket",
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  "Packaged": {
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    "User": "root"
  },
  "Author": "Stephan Wojciekowski [aut, cre],\nTathagata Chattopadhyay [aut]",
  "Maintainer": "Stephan Wojciekowski <stephan.wojciekowski@boehringer-ingelheim.com>",
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  "_created": "2026-10-11T08:58:56.000Z",
  "_published": "2026-10-11T09:02:25.640Z",
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      "date": "2026-02-23"
    },
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    "name": "Boehringer Ingelheim",
    "followers": 128,
    "description": "Boehringer Ingelheim is one of the world's largest pharmaceutical companies, and the largest private one. Headquartered in Ingelheim, it operates globally"
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  "_topics": [
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  "_assets": [
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    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
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  "_realowner": "boehringer-ingelheim",
  "_cranurl": true,
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      "date": "2021-02-15"
    },
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      "date": "2021-04-07"
    },
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      "date": "2021-10-11"
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    "continueRecruitment",
    "createTrial",
    "getAverageNSubjects",
    "getEstimates",
    "getGoDecisions",
    "getGoProbabilities",
    "getMuVar",
    "getPriorParameters",
    "invLogit",
    "loadAnalyses",
    "loadScenarios",
    "logit",
    "negateGoDecisions",
    "performAnalyses",
    "saveAnalyses",
    "saveScenarios",
    "scaleRoundList",
    "setPriorParametersBerry",
    "setPriorParametersExNex",
    "setPriorParametersExNexAdj",
    "setPriorParametersPooled",
    "setPriorParametersStratified",
    "setPriorParametersStratifiedMix",
    "simulateScenarios"
  ],
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    {
      "page": "combinePriorParameters",
      "title": "combinePriorParameters",
      "topics": [
        "combinePriorParameters"
      ]
    },
    {
      "page": "continueRecruitment",
      "title": "continueRecruitment",
      "topics": [
        "continueRecruitment"
      ]
    },
    {
      "page": "createTrial",
      "title": "createTrial",
      "topics": [
        "createTrial"
      ]
    },
    {
      "page": "getAverageNSubjects",
      "title": "getAverageNSubjects",
      "topics": [
        "getAverageNSubjects"
      ]
    },
    {
      "page": "getEstimates",
      "title": "getEstimates",
      "topics": [
        "getEstimates"
      ]
    },
    {
      "page": "getGoDecisions",
      "title": "getGoDecisions",
      "topics": [
        "getGoDecisions"
      ]
    },
    {
      "page": "getGoProbabilities",
      "title": "getGoProbabilities",
      "topics": [
        "getGoProbabilities"
      ]
    },
    {
      "page": "getMuVar",
      "title": "getMuVar",
      "topics": [
        "getMuVar"
      ]
    },
    {
      "page": "getPriorParameters",
      "title": "getPriorParameters",
      "topics": [
        "getPriorParameters"
      ]
    },
    {
      "page": "invlogit",
      "title": "invLogit",
      "topics": [
        "invLogit"
      ]
    },
    {
      "page": "loadAnalyses",
      "title": "loadAnalyses",
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      "title": "loadScenarios",
      "topics": [
        "loadScenarios"
      ]
    },
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      "page": "logit",
      "title": "logit",
      "topics": [
        "logit"
      ]
    },
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      "page": "negateGoDecisions",
      "title": "negateGoDecisions",
      "topics": [
        "negateGoDecisions"
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    },
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      "title": "performAnalyses",
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      "title": "saveScenarios",
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      "title": "scaleRoundList",
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      "page": "setPriorParametersBerry",
      "title": "setPriorParametersBerry",
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