{
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  "Package": "pubh",
  "Title": "A Toolbox for Public Health and Epidemiology",
  "Version": "3.0.0",
  "Authors@R": "c(\nperson(\"Josie\", \"Athens\", email = \"josie.athens@gmail.com\", role = c(\"aut\", \"cre\")),\nperson(\"Frank\", \"Harell\", email = \"f.harrell@vanderbilt.edu\", role = \"ctb\"),\nperson(\"John\", \"Fox\", email = \"jfox@mcmaster.ca\", role = \"ctb\"),\nperson(\"R-Core\", role=\"ctb\"))",
  "Maintainer": "Josie Athens <josie.athens@gmail.com>",
  "Description": "A toolbox for making R functions and capabilities more\naccessible to students and professionals from Epidemiology and\nPublic Health related disciplines. Includes a function to\nreport coefficients and confidence intervals from models using\nrobust standard errors (when available), functions that expand\n'ggplot2' plots and functions relevant for introductory papers\nin Epidemiology or Public Health. Please note that use of the\nprovided data sets is for educational purposes only.",
  "License": "GPL-2",
  "Encoding": "UTF-8",
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  "RoxygenNote": "7.3.3",
  "VignetteBuilder": "knitr",
  "BugReports": "https://github.com/josie-athens/pubh/issues",
  "Config/pak/sysreqs": "cmake make texlive libicu-dev libuv1-dev\nlibxml2-dev libssl-dev libnode-dev",
  "Repository": "https://josie-athens.r-universe.dev",
  "Date/Publication": "2025-10-10 06:19:29 UTC",
  "RemoteUrl": "https://github.com/josie-athens/pubh",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-09 08:20:52 UTC",
    "User": "root"
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  "Author": "Josie Athens [aut, cre],\nFrank Harell [ctb],\nJohn Fox [ctb],\nR-Core [ctb]",
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    "bland_altman",
    "bmj",
    "bst",
    "coef_det",
    "cosm_reg",
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    "cross_tbl",
    "effect_plot",
    "estat",
    "expand_df",
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    "gen_bst_df",
    "geo_mean",
    "get_r2",
    "gg_star",
    "glm_coef",
    "harm_mean",
    "inv_logit",
    "jack_knife",
    "knife_mean",
    "leverage",
    "logistic_gof",
    "mhor",
    "model_labels",
    "multiple",
    "odds_trend",
    "predict_inv",
    "prop_or",
    "pseudo_r2",
    "qq_plot",
    "rank_influence",
    "rank_leverage",
    "reference_range",
    "rel_dis",
    "round_pval",
    "ss_jk",
    "stats_quotes",
    "strip_error",
    "theme_pubh"
  ],
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      "object": "Bernard",
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        "tbl_df",
        "tbl",
        "data.frame"
      ],
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        "race",
        "fate",
        "apache",
        "o2del",
        "followup",
        "temp0",
        "temp10"
      ],
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      "table": true,
      "tojson": true
    },
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      "object": "Brenner",
      "class": [
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        "tbl",
        "data.frame"
      ],
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        "ulcer",
        "infected"
      ],
      "rows": 863,
      "table": true,
      "tojson": true
    },
    {
      "name": "Fentress",
      "title": "Migraine pain reduction.",
      "object": "Fentress",
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        "tbl",
        "data.frame"
      ],
      "fields": [
        "pain",
        "group"
      ],
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      "table": true,
      "tojson": true
    },
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      "object": "Hodgkin",
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        "data.frame"
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        "CD8",
        "Group"
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      "table": true,
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        "tbl",
        "data.frame"
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        "weight",
        "volume"
      ],
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      "table": true,
      "tojson": true
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        "age"
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      "table": true,
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        "mfload",
        "lesions"
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      "table": true,
      "tojson": true
    },
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      "table": true,
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        "tbl",
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        "vstatus"
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      "rows": 1314,
      "table": true,
      "tojson": true
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  ],
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      "page": "bar_error",
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      "topics": [
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      ]
    },
    {
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      "title": "Survival of patients with sepsis.",
      "topics": [
        "Bernard"
      ]
    },
    {
      "page": "bland_altman",
      "title": "Bland-Altman agreement plots.",
      "topics": [
        "bland_altman"
      ]
    },
    {
      "page": "bmj",
      "title": "Palette inspired by the British Medical Journal.",
      "topics": [
        "bmj"
      ]
    },
    {
      "page": "Brenner",
      "title": "Prevalence of Helicobacter pylori infection in preschool children.",
      "topics": [
        "Brenner"
      ]
    },
    {
      "page": "bst",
      "title": "Bootstrap Confidence Intervals.",
      "topics": [
        "bst"
      ]
    },
    {
      "page": "coef_det",
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      "topics": [
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      "topics": [
        "cosm_reg"
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    },
    {
      "page": "cosm_sum",
      "title": "Cosmetics for summary tables Adds some cosmetics to tables of descriptive statistics generated by tbl_summary.",
      "topics": [
        "cosm_sum"
      ]
    },
    {
      "page": "cross_tbl",
      "title": "Table of descriptive statistics by categorical variable.",
      "topics": [
        "cross_tbl"
      ]
    },
    {
      "page": "effect_plot",
      "title": "Constructs effect plots on for cases when the response (outcome) is a numerical variable and the explanatory (exposure) is a categorical variable.",
      "topics": [
        "effect_plot"
      ]
    },
    {
      "page": "estat",
      "title": "Descriptive statistics for continuous variables.",
      "topics": [
        "estat"
      ]
    },
    {
      "page": "expand_df",
      "title": "Expand a data frame.",
      "topics": [
        "expand_df"
      ]
    },
    {
      "page": "Fentress",
      "title": "Migraine pain reduction.",
      "topics": [
        "Fentress"
      ]
    },
    {
      "page": "freq_cont",
      "title": "Relative and Cumulative Frequency.",
      "topics": [
        "freq_cont"
      ]
    },
    {
      "page": "gen_bst_df",
      "title": "Generate a data frame with estimate and bootstrap CIs.",
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        "gen_bst_df"
      ]
    },
    {
      "page": "geo_mean",
      "title": "Geometric mean.",
      "topics": [
        "geo_mean"
      ]
    },
    {
      "page": "get_r2",
      "title": "Estimate R2 or Pseudo-R2 from regression models",
      "topics": [
        "get_r2"
      ]
    },
    {
      "page": "gg_star",
      "title": "Annotating a plot to display differences between groups.",
      "topics": [
        "gg_star"
      ]
    },
    {
      "page": "glm_coef",
      "title": "Table of coefficients from generalised linear models.",
      "topics": [
        "glm_coef"
      ]
    },
    {
      "page": "harm_mean",
      "title": "Harmonic mean.",
      "topics": [
        "harm_mean"
      ]
    },
    {
      "page": "Hodgkin",
      "title": "T-cell counts from Hodgkin's disease patients.",
      "topics": [
        "Hodgkin"
      ]
    },
    {
      "page": "inv_logit",
      "title": "Inverse of the logit",
      "topics": [
        "inv_logit"
      ]
    },
    {
      "page": "jack_knife",
      "title": "Ranks leverage observations from Jackknife method.",
      "topics": [
        "jack_knife"
      ]
    },
    {
      "page": "Kirkwood",
      "title": "Body weight and plasma volume.",
      "topics": [
        "Kirkwood"
      ]
    },
    {
      "page": "knife_mean",
      "title": "Jackknife for means.",
      "topics": [
        "knife_mean"
      ]
    },
    {
      "page": "leverage",
      "title": "Leverage.",
      "topics": [
        "leverage"
      ]
    },
    {
      "page": "logistic_gof",
      "title": "Goodness of fit for Logistic Regression.",
      "topics": [
        "logistic_gof"
      ]
    },
    {
      "page": "Macmahon",
      "title": "Breast cancer and age of childbirth.",
      "topics": [
        "Macmahon"
      ]
    },
    {
      "page": "mhor",
      "title": "Mantel-Haenszel odds ratio.",
      "topics": [
        "mhor"
      ]
    },
    {
      "page": "model_labels",
      "title": "Using labels as coefficient names in tables of coefficients.",
      "topics": [
        "model_labels"
      ]
    },
    {
      "page": "multiple",
      "title": "Multiple comparisons with plot.",
      "topics": [
        "multiple"
      ]
    },
    {
      "page": "odds_trend",
      "title": "Function to calculate OR using Wald CI, and plot trend.",
      "topics": [
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