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  "Title": "Wilcoxon-Mann-Whitney Sample Size Planning",
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  "Authors@R": "c(\nperson(\"Arne C.\", \"Bathke\", role = \"aut\"),\nperson(\"Edgar\", \"Brunner\", role = \"aut\"),\nperson(\"Martin\", \"Happ\", role = c(\"aut\", \"cre\"),\nemail = \"statistics@happ.co.at\",\ncomment = c(ORCID = \"0000-0003-0009-2665\")),\nperson(\"Frank\", \"Konietschke\", role = \"aut\")\n)",
  "Maintainer": "Martin Happ <statistics@happ.co.at>",
  "Description": "Calculates the minimal sample size for the\nWilcoxon-Mann-Whitney test that is needed for a given power and\ntwo sided type I error rate. The method works for metric data\nwith and without ties, count data, ordered categorical data,\nand even dichotomous data. But data is needed for the reference\ngroup to generate synthetic data for the treatment group based\non a relevant effect. See Happ et al. (2019,\n<doi:10.1002/sim.7983>) for details.",
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  "URL": "https://github.com/happma/WMWssp",
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