{
  "_id": "6a1979d2acfb0bcc41df4e0e",
  "Package": "rashnu",
  "Title": "Balanced Sample Size and Power Calculation Tools",
  "Version": "0.1.2",
  "Authors@R": "c(\nperson(\"Sungho\", \"Choi\", , \"1213sam0@gmail.com\", role = c(\"aut\")),\nperson(\"Gyeom\", \"Hwangbo\", , \"hbgyeom@gmail.com\", role = c(\"ctb\", \"cre\")),\nperson(\"Zarathu\", role = c(\"cph\", \"fnd\"))\n)",
  "Description": "Implements sample size and power calculation methods with\na focus on balance and fairness in study design, inspired by\nthe Zoroastrian deity Rashnu, the judge who weighs truth.\nSupports survival analysis and various hypothesis testing\nframeworks.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "URL": "https://zarathucorp.github.io/rashnu/,\nhttps://github.com/zarathucorp/rashnu",
  "BugReports": "https://github.com/zarathucorp/rashnu/issues",
  "Config/pak/sysreqs": "cmake make libuv1-dev zlib1g-dev",
  "Repository": "https://zarathucorp.r-universe.dev",
  "Date/Publication": "2025-07-25 08:22:04 UTC",
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    "User": "root"
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  "Maintainer": "Gyeom Hwangbo <hbgyeom@gmail.com>",
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
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    "extra/readme.md",
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      "date": "2025-06-18"
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    "k_mean_size",
    "k_prop_size",
    "lakatosSampleSize",
    "one_bino_size",
    "one_mean_size",
    "one_norm_size",
    "one_prop_size",
    "oneSurvSampleSize",
    "or_size",
    "pair_prop_size",
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    "sccs_size",
    "two_mean_size",
    "two_prop_size",
    "twoSurvSampleSizeNI"
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    {
      "page": "coxph_size",
      "title": "Sample Size or Power for Cox Proportional Hazards",
      "topics": [
        "coxph_size"
      ]
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    {
      "page": "k_mean_size",
      "title": "Sample Size or Power Calculation for K Means",
      "topics": [
        "k_mean_size"
      ]
    },
    {
      "page": "k_prop_size",
      "title": "Sample Size or Power Calculation for K proportion",
      "topics": [
        "k_prop_size"
      ]
    },
    {
      "page": "lakatosSampleSize",
      "title": "Sample Size Calculation Using Lakatos Method for Survival Analysis",
      "topics": [
        "lakatosSampleSize"
      ]
    },
    {
      "page": "one_bino_size",
      "title": "Sample Size or Power for One-Sample Binomial Proportion Test",
      "topics": [
        "one_bino_size"
      ]
    },
    {
      "page": "one_mean_size",
      "title": "Sample Size or Power for One-Sample Mean Test",
      "topics": [
        "one_mean_size"
      ]
    },
    {
      "page": "one_norm_size",
      "title": "Sample Size or Power Calculation for One-Sample Normal Mean Test",
      "topics": [
        "one_norm_size"
      ]
    },
    {
      "page": "one_prop_size",
      "title": "Sample Size or Power for One-Sample Proportion Test",
      "topics": [
        "one_prop_size"
      ]
    },
    {
      "page": "oneSurvSampleSize",
      "title": "One-Sample Survival Study Sample Size or Power Calculation",
      "topics": [
        "oneSurvSampleSize"
      ]
    },
    {
      "page": "or_size",
      "title": "Sample Size or Power for Odds Ratio Test",
      "topics": [
        "or_size"
      ]
    },
    {
      "page": "pair_prop_size",
      "title": "Sample Size or Power for Paired-Sample Proportion Test",
      "topics": [
        "pair_prop_size"
      ]
    },
    {
      "page": "rashnuBasic",
      "title": "Interactive Sample Size Calculator for Survival Studies (Shiny App)",
      "topics": [
        "rashnuBasic"
      ]
    },
    {
      "page": "sccs_size",
      "title": "Sample Size or Power for Self-Controlled Case Series (SCCS)",
      "topics": [
        "sccs_size"
      ]
    },
    {
      "page": "two_mean_size",
      "title": "Sample Size or Power for Two-Sample Mean Test",
      "topics": [
        "two_mean_size"
      ]
    },
    {
      "page": "two_prop_size",
      "title": "Sample Size or Power for Two-Sample Proportion Test",
      "topics": [
        "two_prop_size"
      ]
    },
    {
      "page": "twoSurvSampleSizeNI",
      "title": "Sample Size Calculation for Two-Group Non-Inferiority Survival Study",
      "topics": [
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      ]
    }
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