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  "Package": "BCHM",
  "Title": "Clinical Trial Calculation Based on BCHM Design",
  "Version": "1.00",
  "Author": "Nan Chen and J. Jack Lee",
  "Description": "Users can estimate the treatment effect for multiple\nsubgroups basket trials based on the Bayesian Cluster\nHierarchical Model (BCHM). In this model, a Bayesian\nnon-parametric method is applied to dynamically calculate the\nnumber of clusters by conducting the multiple cluster\nclassification based on subgroup outcomes. Hierarchical model\nis used to compute the posterior probability of treatment\neffect with the borrowing strength determined by the Bayesian\nnon-parametric clustering and the similarities between\nsubgroups. To use this package, 'JAGS' software and 'rjags'\npackage are required, and users need to pre-install them.",
  "License": "LGPL-2",
  "Maintainer": "J. Jack Lee <jjlee@mdanderson.org>",
  "Encoding": "UTF-8",
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  "Repository": "https://jjacklee116.r-universe.dev",
  "Date/Publication": "2020-06-05 21:00:13 UTC",
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  "_buildurl": "https://github.com/r-universe/jjacklee116/actions/runs/25984538674",
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  "_topics": [
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  "_assets": [
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    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
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    "extra/contents.json",
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  "_realowner": "jjacklee116",
  "_cranurl": false,
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    "BCHMplot_cluster",
    "BCHMplot_post_dist",
    "BCHMplot_post_value"
  ],
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    {
      "page": "BCHM",
      "title": "Perform the analysis based on the BCHM design.",
      "topics": [
        "BCHM"
      ]
    },
    {
      "page": "BCHMplot_cluster",
      "title": "Plot the clustering results of subgroups.",
      "topics": [
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      ]
    },
    {
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      "topics": [
        "BCHMplot_post_dist"
      ]
    },
    {
      "page": "BCHMplot_post_value",
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    },
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      "package": "libstdc++6",
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      "author": "Nan Chen, J. Jack Lee",
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      "created": "2019-12-20 13:30:05",
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