{
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  "Date": "2021-09-29",
  "Title": "Efficient Determination of Sample Size in Balanced Design of\nExperiments",
  "Authors@R": "c(person(\"Jong Hee\", \"Chung\", role = c(\"aut\", \"cre\"), email = \"jochung947@gmail.com\"),\nperson(\"Yong Bin\", \"Lim\", role = \"aut\"),\nperson(\"Donghoh\", \"Kim\", role = \"ctb\", email = \"donghoh.kim@gmail.com\"))",
  "Author": "Jong Hee Chung [aut, cre], Yong Bin Lim [aut], Donghoh Kim\n[ctb]",
  "Maintainer": "Jong Hee Chung <jochung947@gmail.com>",
  "Description": "For a balanced design of experiments, this package\ncalculates the sample size required to detect a certain\nstandardized effect size, under a significance level. This\npackage also provides three graphs; detectable standardized\neffect size vs power, sample size vs detectable standardized\neffect size, and sample size vs power, which show the mutual\nrelationship between the sample size, power and the detectable\nstandardized effect size. The detailed procedure is described\nin R. V. Lenth (2006-9)\n<https://homepage.divms.uiowa.edu/~rlenth/Power/>, Y. B. Lim\n(1998), M. A. Kastenbaum, D. G. Hoel and K. O. Bowman (1970)\n<doi:10.2307/2334851>, and Douglas C. Montgomery (2013, ISBN:\n0849323312).",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
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      "title": "Diagnosis Graphs for Sample Size of Two-level Fractional Factorial Design",
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    },
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      "title": "Sample Size Calculator for Full Factorial Design",
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