{
  "_id": "6a25158a4b233be19838b3e7",
  "Package": "jstable",
  "Title": "Create Tables from Different Types of Regression",
  "Version": "1.3.26",
  "Date": "2026-04-09",
  "Authors@R": "c(person(\"Jinseob\", \"Kim\", email = \"jinseob2kim@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-9403-605X\")),\nperson(\"Zarathu\", role = c(\"cph\", \"fnd\")),\nperson(\"Yoonkyoung\", \"Jeon\", role = c(\"aut\")),\nperson(\"Jaehun\", \"Shon\", role = c(\"aut\")),\nperson(\"Hyojong\", \"Myung\", role = c(\"aut\")),\nperson(\"Hyungwoo\", \"Jo\", role = c(\"aut\")),\nperson(\"Sungho\", \"Choi\", role = c(\"aut\")),\nperson(\"Jaewoong\", \"Heo\", role = c(\"aut\")),\nperson(\"Mingu\", \"Jee\", role = c(\"aut\")),\nperson(\"Yujeong\", \"Yoon\", role = c(\"aut\")),\nperson(\"Minhyuk\", \"Kim\", role = c(\"aut\")),\nperson(\"Wonbin\", \"Hahn\", role = c(\"aut\")),\nperson(\"Taehong\", \"Kim\", role = c(\"aut\")))",
  "Description": "Create regression tables from generalized linear\nmodel(GLM), generalized estimating equation(GEE), generalized\nlinear mixed-effects model(GLMM), Cox proportional hazards\nmodel, survey-weighted generalized linear model(svyglm) and\nsurvey-weighted Cox model results for publication.",
  "License": "Apache License 2.0",
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  "Author": "Jinseob Kim [aut, cre] (ORCID: <https://orcid.org/0000-0002-9403-605X>),\nZarathu [cph, fnd],\nYoonkyoung Jeon [aut],\nJaehun Shon [aut],\nHyojong Myung [aut],\nHyungwoo Jo [aut],\nSungho Choi [aut],\nJaewoong Heo [aut],\nMingu Jee [aut],\nYujeong Yoon [aut],\nMinhyuk Kim [aut],\nWonbin Hahn [aut],\nTaehong Kim [aut]",
  "Maintainer": "Jinseob Kim <jinseob2kim@gmail.com>",
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  "_exports": [
    "ChangeSvyTable",
    "coefNA",
    "collapse_counts",
    "count_event_by",
    "count_event_by_glm",
    "cox2.display",
    "coxme.display",
    "CreateTableOne2",
    "CreateTableOneJS",
    "geeExp",
    "geeglm.display",
    "geeUni",
    "glmshow.display",
    "LabelepiDisplay",
    "LabeljsCox",
    "LabeljsGeeglm",
    "LabeljsMetric",
    "LabeljsMixed",
    "LabeljsRanef",
    "LabeljsTable",
    "lmer.display",
    "mk.lev",
    "mk.lev.var",
    "opt.data",
    "opt.roc",
    "opt.simpledown",
    "opt.tb1",
    "opt.tbreg",
    "svycox.display",
    "svyCreateTableOne2",
    "svyCreateTableOneJS",
    "svyregress.display",
    "TableSubgroupCox",
    "TableSubgroupGLM",
    "TableSubgroupMultiCox",
    "TableSubgroupMultiGLM"
  ],
  "_datasets": [
    {
      "name": "mort",
      "title": "DATASET_TITLE",
      "object": "mort",
      "class": [
        "data.frame"
      ],
      "fields": [
        "ccode",
        "cname",
        "yy",
        "mm",
        "dd",
        "date",
        "nonacc",
        "cardio",
        "respir",
        "influenza",
        "meanpm10",
        "meanso2",
        "meanno2",
        "meanco",
        "maxco",
        "maxo3",
        "meantemp",
        "maxtemp",
        "mintemp",
        "meanhumi",
        "meanpress",
        "season",
        "dow",
        "sn"
      ],
      "rows": 17562,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ChangeSvyTable",
      "title": "ChangeSvyTable: Modify the number n",
      "topics": [
        "ChangeSvyTable"
      ]
    },
    {
      "page": "coefNA",
      "title": "coefNA: make coefficient table with NA",
      "topics": [
        "coefNA"
      ]
    },
    {
      "page": "collapse_counts",
      "title": "collapse_counts",
      "topics": [
        "collapse_counts"
      ]
    },
    {
      "page": "count_event_by",
      "title": "count_event_by: funciton to count event, subgroup number inside TableSubgroupCox, TableSubgroupMultiCox",
      "topics": [
        "count_event_by"
      ]
    },
    {
      "page": "count_event_by_glm",
      "title": "count_event_by_glm: function to count event rates or summary metrics for GLM analysis",
      "topics": [
        "count_event_by_glm"
      ]
    },
    {
      "page": "cox2.display",
      "title": "cox2.display: table for coxph.object with model option: TRUE - allow \"frailty\" or \"cluster\" model",
      "topics": [
        "cox2.display"
      ]
    },
    {
      "page": "coxExp",
      "title": "coxExp: transform the unit of coefficients in cox model(internal function)",
      "topics": [
        "coxExp"
      ]
    },
    {
      "page": "coxme.display",
      "title": "coxme.display: table for coxme.object (coxme package)",
      "topics": [
        "coxme.display"
      ]
    },
    {
      "page": "coxmeTable",
      "title": "coxmeTable: Summary table of coxme.object(internal function)",
      "topics": [
        "coxmeTable"
      ]
    },
    {
      "page": "CreateTableOne2",
      "title": "CreateTableOne2: Modified CreateTableOne function in tableone package",
      "topics": [
        "CreateTableOne2"
      ]
    },
    {
      "page": "CreateTableOneJS",
      "title": "CreateTableOneJS: Modified CreateTableOne function in tableone package",
      "topics": [
        "CreateTableOneJS"
      ]
    },
    {
      "page": "extractAIC.coxme",
      "title": "extractAIC.coxme: Extract AIC from coxme.object",
      "topics": [
        "extractAIC.coxme"
      ]
    },
    {
      "page": "geeExp",
      "title": "geeExp: transform the unit of coefficients (internal function)",
      "topics": [
        "geeExp"
      ]
    },
    {
      "page": "geeglm.display",
      "title": "geeglm.display",
      "topics": [
        "geeglm.display"
      ]
    },
    {
      "page": "geeUni",
      "title": "geeUni: The coefficient of univariate gee (internal function)",
      "topics": [
        "geeUni"
      ]
    },
    {
      "page": "glmshow.display",
      "title": "glmshow.display: Show summary table of glm object.",
      "topics": [
        "glmshow.display"
      ]
    },
    {
      "page": "LabelepiDisplay",
      "title": "LabelepiDisplay: Apply label information to epiDisplay object using label data",
      "topics": [
        "LabelepiDisplay"
      ]
    },
    {
      "page": "LabeljsCox",
      "title": "LabeljsCox: Apply label information to cox2.display object using label data",
      "topics": [
        "LabeljsCox"
      ]
    },
    {
      "page": "LabeljsGeeglm",
      "title": "LabeljsGeeglm: Apply label information to geeglm.display object using label data",
      "topics": [
        "LabeljsGeeglm"
      ]
    },
    {
      "page": "LabeljsMetric",
      "title": "LabeljsMetric: Apply label information to jstable metric object using label data",
      "topics": [
        "LabeljsMetric"
      ]
    },
    {
      "page": "LabeljsMixed",
      "title": "LabeljsMixed: Apply label information to jstable object using label data",
      "topics": [
        "LabeljsMixed"
      ]
    },
    {
      "page": "LabeljsRanef",
      "title": "LabeljsRanef: Apply label information to jstable random effect object using label data",
      "topics": [
        "LabeljsRanef"
      ]
    },
    {
      "page": "LabeljsTable",
      "title": "LabeljsTable: Apply label information to jstable object using label data",
      "topics": [
        "LabeljsTable"
      ]
    },
    {
      "page": "lmer.display",
      "title": "lmer.display: table for \"lmerMod\" or \"glmerMod\" object (lme4 package)",
      "topics": [
        "lmer.display"
      ]
    },
    {
      "page": "lmerExp",
      "title": "lmerExp: transform the unit of coefficients (internal function)",
      "topics": [
        "lmerExp"
      ]
    },
    {
      "page": "mk.lev",
      "title": "Export label and level: multiple variable",
      "topics": [
        "mk.lev"
      ]
    },
    {
      "page": "mk.lev.var",
      "title": "Export label and level: one variable",
      "topics": [
        "mk.lev.var"
      ]
    },
    {
      "page": "mort",
      "title": "DATASET_TITLE",
      "topics": [
        "mort"
      ]
    },
    {
      "page": "opt.data",
      "title": "datable option for data(DT package)",
      "topics": [
        "opt.data"
      ]
    },
    {
      "page": "opt.roc",
      "title": "datable option for ROC result(DT package)",
      "topics": [
        "opt.roc"
      ]
    },
    {
      "page": "opt.simpledown",
      "title": "datable option for simple download(DT package)",
      "topics": [
        "opt.simpledown"
      ]
    },
    {
      "page": "opt.tb1",
      "title": "datable option for table 1(DT package)",
      "topics": [
        "opt.tb1"
      ]
    },
    {
      "page": "opt.tbreg",
      "title": "datable option for regression table(DT package)",
      "topics": [
        "opt.tbreg"
      ]
    },
    {
      "page": "svycox.display",
      "title": "svycoxph.display: table for svycoxph.object in survey package.",
      "topics": [
        "svycox.display"
      ]
    },
    {
      "page": "svyCreateTableOne2",
      "title": "svyCreateTableOne2: Modified svyCreateTableOne function in tableone package",
      "topics": [
        "svyCreateTableOne2"
      ]
    },
    {
      "page": "svyCreateTableOneJS",
      "title": "svyCreateTableOneJS: Modified CreateTableOne function in tableone package",
      "topics": [
        "svyCreateTableOneJS"
      ]
    },
    {
      "page": "svyglm.display",
      "title": "svyregress.display: table for svyglm.object",
      "topics": [
        "svyregress.display"
      ]
    },
    {
      "page": "TableSubgroupCox",
      "title": "TableSubgroupCox: Sub-group analysis table for Cox/svycox model.",
      "topics": [
        "TableSubgroupCox"
      ]
    },
    {
      "page": "TableSubgroupGLM",
      "title": "TableSubgroupGLM: Sub-group analysis table for GLM and GLMM(lme4 package).",
      "topics": [
        "TableSubgroupGLM"
      ]
    },
    {
      "page": "TableSubgroupMultiCox",
      "title": "TableSubgroupMultiCox: Multiple sub-group analysis table for Cox/svycox model.",
      "topics": [
        "TableSubgroupMultiCox"
      ]
    },
    {
      "page": "TableSubgroupMultiGLM",
      "title": "TableSubgroupMultiGLM: Multiple sub-group analysis table for GLM.",
      "topics": [
        "TableSubgroupMultiGLM"
      ]
    }
  ],
  "_readme": "https://github.com/jinseob2kim/jstable/raw/HEAD/README.md",
  "_rundeps": [
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    "backports",
    "bdsmatrix",
    "bit",
    "bit64",
    "boot",
    "broom",
    "car",
    "carData",
    "class",
    "cli",
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    "cowplot",
    "coxme",
    "cpp11",
    "crayon",
    "data.table",
    "DBI",
    "Deriv",
    "doBy",
    "dplyr",
    "e1071",
    "farver",
    "forcats",
    "forecast",
    "Formula",
    "fracdiff",
    "gdata",
    "geepack",
    "generics",
    "ggplot2",
    "glue",
    "gmodels",
    "gtable",
    "gtools",
    "haven",
    "hms",
    "isoband",
    "labeling",
    "labelled",
    "lattice",
    "lifecycle",
    "lme4",
    "lmerTest",
    "lmtest",
    "magrittr",
    "MASS",
    "Matrix",
    "MatrixModels",
    "mgcv",
    "microbenchmark",
    "minqa",
    "mitools",
    "modelr",
    "nlme",
    "nloptr",
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    "progress",
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    "purrr",
    "quantreg",
    "R6",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "Rdpack",
    "readr",
    "reformulas",
    "rlang",
    "S7",
    "scales",
    "SparseM",
    "stringi",
    "stringr",
    "survey",
    "survival",
    "tableone",
    "tibble",
    "tidyr",
    "tidyselect",
    "timeDate",
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    "utf8",
    "vctrs",
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  ],
  "_vignettes": [
    {
      "source": "jstable_competing_risk_analysis.Rmd",
      "filename": "jstable_competing_risk_analysis.html",
      "title": "Competing risk analysis",
      "author": "Jinseob Kim",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Display results of comepting risk analysis using jstable(Fine-Gray Method)",
        "TableSubgroupMultiCox",
        "When using the TableSubgroupMultiCox function, preprocessing the data with the finegray function from the survival package is required. The finegray function generates a new dataset containing fgstart, fgstop, fgstatus, and fgwt. The TableSubgroupMultiCox function then displays results based on the corresponding formula and weights.",
        "cox2.display",
        "As written above, preprocessing the data with finegray function is also required. By using corresponding formula and weights, cox2.display function will display table results."
      ],
      "created": "2024-12-12 06:18:59",
      "modified": "2024-12-13 07:12:45",
      "commits": 3
    },
    {
      "source": "jstable_options.Rmd",
      "filename": "jstable_options.html",
      "title": "Introducing jstable options",
      "author": "Jinseob Kim",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introducing count_by, event options in TableSubgroupMultiCox",
        "TableSubgroupMultiCox",
        "Counting the Number of Independent Variables for Comparison",
        "The default option for count_by is set to NULL. By specifying an independent variable in the count_by option, the table will display the counts for each level of the independent variable.",
        "Calculate crude incidence rate of event",
        "The default value for the event option is set to FALSE. By setting event to TRUE, the table will display the crude incidence rate of events. This rate is calculated using the number of events as the numerator and the count of the independent variable as the denominator.(Different from Kaplan-Meier Estimates)",
        "Using both count_by and event option is also available",
        "By using both count_by and event option, the table will display crude incidence rate and the counts for each level of the independant variable.",
        "Introducing pairwise option",
        "Introducing pairwise, pairwise.showtest option in CreateTableOneJS",
        "The default value for the pairwise option is FALSE. By setting pairwise to TRUE, the table will display p-values for pairwise comparisons of stratified groups.",
        "By setting pairwise.showtest option to TRUE, the table will display test used to calculate p-values for pairwise comparisons of stratified groups. Default test for categorical variables are chi-sq test and continuous variables are t-test.",
        "Introducing pairwise option in svyCreateTableOneJS",
        "By setting pairwise.showtest option to TRUE, the table will display test used to calculate p-values for pairwise comparisons of stratified groups."
      ],
      "created": "2024-12-12 06:18:59",
      "modified": "2024-12-13 07:12:45",
      "commits": 3
    },
    {
      "source": "jstable.Rmd",
      "filename": "jstable.html",
      "title": "Introduce jstable",
      "author": "Jinseob Kim",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Install",
        "GLM Table",
        "GEE Table: from geeglm object from geepack package",
        "Mixed model Table: lmerMod or glmerMod object from lme4 package",
        "Cox model with frailty or cluster options",
        "Cox mixed effect model Table: coxme  object from coxme package",
        "GLM for survey data : svyglm object from survey package",
        "Cox model for survey data :svycoxph object from survey package",
        "Sub-group analysis for Cox/svycox model"
      ],
      "created": "2019-01-17 14:54:12",
      "modified": "2023-10-18 08:53:30",
      "commits": 8
    }
  ],
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  "_indexed": true,
  "_nocasepkg": "jstable",
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