{
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  "Package": "bmem",
  "Type": "Package",
  "Title": "Mediation Analysis with Missing Data Using Bootstrap",
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  "Date": "2025-09-02",
  "Authors@R": "c(person(given = \"Zhiyong\",\nfamily = \"Zhang\",\nrole = c(\"aut\", \"cre\"),\nemail = \"zhiyongzhang@nd.edu\"),\nperson(given = \"Lijuan\",\nfamily = \"Wang\",\nrole = \"aut\"))",
  "Maintainer": "Zhiyong Zhang <zhiyongzhang@nd.edu>",
  "Description": "Four methods for mediation analysis with missing data:\nListwise deletion, Pairwise deletion, Multiple imputation, and\nTwo Stage Maximum Likelihood algorithm. For MI and TS-ML,\nauxiliary variables can be included. Bootstrap confidence\nintervals for mediation effects are obtained. The robust method\nis also implemented for TS-ML. Since version 1.4, bmem adds the\ncapability to conduct power analysis for mediation models.\nDetails about the methods used can be found in these articles.\nZhang and Wang (2003) <doi:10.1007/s11336-012-9301-5>. Zhang\n(2014) <doi:10.3758/s13428-013-0424-0>.",
  "License": "GPL-2",
  "LazyLoad": "yes",
  "URL": "https://bigdatalab.nd.edu",
  "NeedsCompilation": "no",
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    "User": "root"
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  "Author": "Zhiyong Zhang [aut, cre], Lijuan Wang [aut]",
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  "Repository": "https://johnnyzhz.r-universe.dev",
  "Date/Publication": "2025-09-03 19:40:02 UTC",
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    "bmem.mi.jack",
    "bmem.moments",
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    "bmem.pair.boot",
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    "bmem.pair.jack",
    "bmem.pattern",
    "bmem.plot",
    "bmem.raw2cov",
    "bmem.sem",
    "bmem.sobel",
    "bmem.sobel.ind",
    "bmem.ssq",
    "bmem.v",
    "plot.bmem",
    "popPar",
    "power.basic",
    "power.boot",
    "power.curve",
    "summary.bmem"
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      "page": "bmem-package",
      "title": "Mediation analysis with missing data using bootstrap",
      "topics": [
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      ]
    },
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      "page": "bmem",
      "title": "Mediation analysis based on bootstrap",
      "topics": [
        "bmem"
      ]
    },
    {
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      "title": "Bootstrap but using the Bollen-Stine method",
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    },
    {
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      "title": "Bias-corrected confidence intervals",
      "topics": [
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    },
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    },
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      "title": "Bias-corrected and accelerated confidence intervals",
      "topics": [
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    },
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    },
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      "topics": [
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      "title": "Bootstrap for listwise deletion method",
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      "title": "Bootstrap for pairwise deletion",
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    },
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        "plot.bmem"
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      "title": "Get the population parameter values",
      "topics": [
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      "title": "Conducting power analysis based on Sobel test",
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      "title": "Conducting power analysis based on bootstrap",
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      "title": "Generate a power curve",
      "topics": [
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      "title": "Calculate bootstrap confidence intervals",
      "topics": [
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        "summary.bmem"
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      "title": "Organize the results into a table",
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