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  "Package": "npboottprmFBar",
  "Title": "Informative Nonparametric Bootstrap Test with Pooled Resampling",
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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": "Sample sizes are often small due to hard to reach target\npopulations, rare target events, time constraints, limited\nbudgets, or ethical considerations. Two statistical methods\nwith promising performance in small samples are the\nnonparametric bootstrap test with pooled resampling method,\nwhich is the focus of Dwivedi, Mallawaarachchi, and Alvarado\n(2017) <doi:10.1002/sim.7263>, and informative hypothesis\ntesting, which is implemented in the 'restriktor' package. The\n'npboottprmFBar' package uses the nonparametric bootstrap test\nwith pooled resampling method to implement informative\nhypothesis testing. The bootFbar() function can be used to\nanalyze data with this method and the persimon() function can\nbe used to conduct performance simulations on type-one error\nand statistical power.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "Repository": "https://mightymetrika.r-universe.dev",
  "Date/Publication": "2024-09-11 01:31:28 UTC",
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