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  "Title": "Analysis of Simulation Studies Including Monte Carlo Error",
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  "Description": "Summarise results from simulation studies and compute\nMonte Carlo standard errors of commonly used summary\nstatistics. This package is modelled on the 'simsum'\nuser-written command in 'Stata' (White I.R., 2010\n<https://www.stata-journal.com/article.html?article=st0200>),\nfurther extending it with additional performance measures and\nfunctionality.",
  "License": "GPL (>= 3)",
  "URL": "https://ellessenne.github.io/rsimsum/,\nhttps://github.com/ellessenne/rsimsum",
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      "title": "Example of a simulation study on frailty survival models",
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      "class": [
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        "data.frame"
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      "table": true,
      "tojson": true
    },
    {
      "name": "MIsim2",
      "title": "Example of a simulation study on missing data",
      "object": "MIsim2",
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        "data.frame"
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        "b",
        "se"
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      "table": true,
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      "title": "autoplot method for summary.simsum objects",
      "topics": [
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      "title": "Create 'kable's",
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        "kable.multisimsum",
        "kable.simsum",
        "kable.summary.multisimsum",
        "kable.summary.simsum"
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        "MIsim2"
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      "title": "Analyses of simulation studies with multiple estimands at once, including Monte Carlo error",
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        "multisimsum"
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      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Motivation",
        "Data generating mechanisms",
        "Methods",
        "Performance measures",
        "Sample size",
        "Running the simulation study",
        "Generate data",
        "Run models",
        "Aggregating results",
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      "headings": [
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        "Scatter plots",
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        "Lolly plots",
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        "Custom plotting"
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