{
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  "Package": "bootwar",
  "Title": "Nonparametric Bootstrap Test with Pooled Resampling Card Game",
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  "Authors@R": "c(\nperson(\"Mackson\", \"Ncube\", , \"macksonncube.stats@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"mightymetrika, LLC\", role = c(\"cph\", \"fnd\"))\n)",
  "Description": "The card game War is simple in its rules but can be\nlengthy. In another domain, the nonparametric bootstrap test\nwith pooled resampling (nbpr) methods, as outlined in Dwivedi,\nMallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>, is\noptimal for comparing paired or unpaired means in non-normal\ndata, especially for small sample size studies. However, many\nresearchers are unfamiliar with these methods. The 'bootwar'\npackage bridges this gap by enabling users to grasp the\nconcepts of nbpr via Boot War, a variation of the card game War\ndesigned for small samples. The package provides functions like\nscore_keeper() and play_round() to streamline gameplay and\nscoring. Once a predetermined number of rounds concludes, users\ncan employ the analyze_game() function to derive game results.\nThis function leverages the 'npboottprm' package's nonparboot()\nto report nbpr results and, for comparative analysis, also\nreports results from the 'stats' package's t.test() function.\nAdditionally, 'bootwar' features an interactive 'shiny' web\napplication, bootwar(). This offers a user-centric interface to\nexperience Boot War, enhancing understanding of nbpr methods\nacross various distributions, sample sizes, number of bootstrap\nresamples, and confidence intervals.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.2.3",
  "URL": "https://github.com/mightymetrika/bootwar",
  "BugReports": "https://github.com/mightymetrika/bootwar/issues",
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  "Repository": "https://mightymetrika.r-universe.dev",
  "Date/Publication": "2023-10-09 13:56:05 UTC",
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      "title": "Deck of Cards",
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