{
  "_id": "6a10495aacfb0bcc41c9f712",
  "Package": "autoReg",
  "Type": "Package",
  "Title": "Automatic Linear and Logistic Regression and Survival Analysis",
  "Version": "0.3.4",
  "Authors@R": "person(\"Keon-Woong\",\"Moon\", email=\"cardiomoon@gmail.com\",\nrole=c(\"aut\", \"cre\"))",
  "URL": "https://github.com/cardiomoon/autoReg,\nhttps://cardiomoon.github.io/autoReg/",
  "BugReports": "https://github.com/cardiomoon/autoReg/issues",
  "Description": "Make summary tables for descriptive statistics and select\nexplanatory variables automatically in various regression\nmodels. Support linear models, generalized linear models and\ncox-proportional hazard models. Generate publication-ready\ntables summarizing result of regression analysis and plots. The\ntables and plots can be exported in \"HTML\", \"pdf('LaTex')\",\n\"docx('MS Word')\" and \"pptx('MS Powerpoint')\" documents.",
  "License": "GPL-3",
  "LazyData": "true",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.2.3",
  "VignetteBuilder": "knitr",
  "Config/pak/sysreqs": "libcairo2-dev cmake libfontconfig1-dev\nlibfreetype6-dev libfribidi-dev make libharfbuzz-dev libicu-dev\nlibjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev\nlibxml2-dev libssl-dev libnode-dev libx11-dev zlib1g-dev",
  "Repository": "https://cardiomoon.r-universe.dev",
  "Date/Publication": "2023-11-29 05:48:41 UTC",
  "RemoteUrl": "https://github.com/cardiomoon/autoreg",
  "RemoteRef": "HEAD",
  "RemoteSha": "e3fc7eba663d49165c29b6eb0e62647666b49656",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-10 08:48:27 UTC",
    "User": "root"
  },
  "Author": "Keon-Woong Moon [aut, cre]",
  "Maintainer": "Keon-Woong Moon <cardiomoon@gmail.com>",
  "MD5sum": "6349cc098c2b0444829619fc66141c6d",
  "_user": "cardiomoon",
  "_type": "src",
  "_file": "autoReg_0.3.4.tar.gz",
  "_fileid": "f7585945c1a6dc0fb6f0e8f128b863773199de08f27cc08d4e536a47e55393cd",
  "_filesize": 2874270,
  "_sha256": "f7585945c1a6dc0fb6f0e8f128b863773199de08f27cc08d4e536a47e55393cd",
  "_created": "2026-05-10T08:48:27.000Z",
  "_published": "2026-05-22T12:17:30.547Z",
  "_distro": "noble",
  "_jobs": [
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      "job": 77377487146,
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      "config": "linux-devel-x86_64",
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      "config": "windows-devel",
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  ],
  "_buildurl": "https://github.com/r-universe/cardiomoon/actions/runs/25624331829",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/cardiomoon/autoreg",
  "_commit": {
    "id": "e3fc7eba663d49165c29b6eb0e62647666b49656",
    "author": "Keon-Woong Moon <cardiomoon@gmail.com>",
    "committer": "Keon-Woong Moon <cardiomoon@gmail.com>",
    "message": "0.3.4\n\n0.3.4\n",
    "time": 1701236921
  },
  "_maintainer": {
    "name": "Keon-Woong Moon",
    "email": "cardiomoon@gmail.com",
    "login": "cardiomoon",
    "uuid": 7410607
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 2.10",
      "role": "Depends"
    },
    {
      "package": "moonBook",
      "version": ">= 0.3.0",
      "role": "Imports"
    },
    {
      "package": "nortest",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "crayon",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "role": "Imports"
    },
    {
      "package": "survival",
      "role": "Imports"
    },
    {
      "package": "mice",
      "role": "Imports"
    },
    {
      "package": "officer",
      "role": "Imports"
    },
    {
      "package": "flextable",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "patchwork",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "boot",
      "role": "Imports"
    },
    {
      "package": "broom",
      "role": "Imports"
    },
    {
      "package": "tidycmprsk",
      "role": "Imports"
    },
    {
      "package": "scales",
      "role": "Imports"
    },
    {
      "package": "maxstat",
      "role": "Imports"
    },
    {
      "package": "pammtools",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "finalfit",
      "role": "Suggests"
    },
    {
      "package": "lme4",
      "role": "Suggests"
    },
    {
      "package": "TH.data",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "survminer",
      "role": "Suggests"
    },
    {
      "package": "asaur",
      "role": "Suggests"
    },
    {
      "package": "cmprsk",
      "role": "Suggests"
    },
    {
      "package": "PairedData",
      "role": "Suggests"
    }
  ],
  "_owner": "cardiomoon",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [],
  "_tags": [],
  "_stars": 53,
  "_contributors": [
    {
      "user": "cardiomoon",
      "count": 123,
      "uuid": 7410607
    }
  ],
  "_userbio": {
    "uuid": 7410607,
    "type": "user",
    "name": "Keon-Woong Moon",
    "description": "M.D. & Ph.D.\r\nProfessor of cardiology, St.Vincent's hospital, The Catholic University of Korea"
  },
  "_downloads": {
    "count": 1305,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/autoReg"
  },
  "_devurl": "https://github.com/cardiomoon/autoreg",
  "_pkgdown": "https://cardiomoon.github.io/autoReg/",
  "_searchresults": 88,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/autoReg.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/cardiomoon/autoreg",
  "_realowner": "cardiomoon",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2022-01-10"
    },
    {
      "version": "0.2.6",
      "date": "2022-04-05"
    },
    {
      "version": "0.3.2",
      "date": "2023-04-11"
    },
    {
      "version": "0.3.3",
      "date": "2023-11-14"
    }
  ],
  "_exports": [
    "%>%",
    "addFitSummary",
    "addLabelData",
    "adjustedPlot",
    "adjustedPlot2",
    "adjustedPlot2.survreg",
    "as_printable",
    "autoReg",
    "autoReg_sub",
    "autoRegCox",
    "autoRegsurvreg",
    "bootPredict",
    "countGroups",
    "coxzphplot",
    "crr2stats",
    "crrFormula",
    "df2flextable",
    "drawline",
    "expectedPlot",
    "filldown",
    "find1stDup",
    "findDup",
    "fit2final",
    "fit2lik",
    "fit2list",
    "fit2model",
    "fit2multi",
    "fit2newdata",
    "fit2stats",
    "fit2summary",
    "gaze",
    "gaze_sub",
    "gazeCat",
    "gazeCont",
    "getInteraction",
    "getN",
    "getSigVars",
    "ggcmprsk",
    "ggcmprsk2",
    "highlight2",
    "imputedReg",
    "is.mynumeric",
    "loglogplot",
    "maxnchar",
    "modelPlot",
    "modelsSummary",
    "modelsSummaryTable",
    "my.chisq.test2",
    "my.t.test2",
    "mycphSimple",
    "myformat",
    "myft",
    "mysurvregSimple",
    "num2factor",
    "num2stat",
    "OEplot",
    "p2character2",
    "printdf",
    "removeDup",
    "residualNull",
    "residualPlot",
    "select",
    "setLabel",
    "shorten",
    "showEffect",
    "strata2df",
    "survfit2df",
    "survreg2final",
    "survreg2multi"
  ],
  "_datasets": [
    {
      "name": "anderson",
      "title": "Remission survival times of 42 leukemia patients",
      "object": "anderson",
      "class": [
        "data.frame"
      ],
      "fields": [
        "time",
        "status",
        "sex",
        "logWBC",
        "rx"
      ],
      "rows": 42,
      "table": true,
      "tojson": true
    },
    {
      "name": "anderson1",
      "title": "Remission survival times of 42 leukemia patients",
      "object": "anderson1",
      "class": [
        "data.frame"
      ],
      "fields": [
        "time",
        "status",
        "sex",
        "logWBC",
        "rx"
      ],
      "rows": 42,
      "table": true,
      "tojson": true
    },
    {
      "name": "anderson2",
      "title": "Remission survival times of 31 leukemia patients",
      "object": "anderson2",
      "class": [
        "data.frame"
      ],
      "fields": [
        "time",
        "status",
        "sex",
        "logWBC",
        "rx",
        "WBCCAT"
      ],
      "rows": 31,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "addFitSummary",
      "title": "Add model summary to an object of class gaze",
      "topics": [
        "addFitSummary"
      ]
    },
    {
      "page": "addLabelData",
      "title": "Add labels to data",
      "topics": [
        "addLabelData"
      ]
    },
    {
      "page": "adjustedPlot",
      "title": "Draw an expected plot",
      "topics": [
        "adjustedPlot"
      ]
    },
    {
      "page": "adjustedPlot.survreg",
      "title": "Draw predicted survival curve with an object survreg",
      "topics": [
        "adjustedPlot.survreg"
      ]
    },
    {
      "page": "adjustedPlot2",
      "title": "Draw a survfitted plot",
      "topics": [
        "adjustedPlot2"
      ]
    },
    {
      "page": "adjustedPlot2.survreg",
      "title": "Draw predicted survival curve as a ggplot with an object survreg",
      "topics": [
        "adjustedPlot2.survreg"
      ]
    },
    {
      "page": "anderson",
      "title": "Remission survival times of 42 leukemia patients",
      "topics": [
        "anderson"
      ]
    },
    {
      "page": "anderson1",
      "title": "Remission survival times of 42 leukemia patients",
      "topics": [
        "anderson1"
      ]
    },
    {
      "page": "anderson2",
      "title": "Remission survival times of 31 leukemia patients",
      "topics": [
        "anderson2"
      ]
    },
    {
      "page": "as_printable",
      "title": "Convert data.frame to printable form",
      "topics": [
        "as_printable"
      ]
    },
    {
      "page": "autoReg",
      "title": "Perform univariable and multivariable regression and stepwise backward regression automatically",
      "topics": [
        "autoReg",
        "autoReg.coxph",
        "autoReg.glm",
        "autoReg.lm",
        "autoReg.survreg"
      ]
    },
    {
      "page": "autoReg_sub",
      "title": "Perform univariable and multivariable regression and stepwise backward regression automatically",
      "topics": [
        "autoReg_sub"
      ]
    },
    {
      "page": "autoRegCox",
      "title": "perform automatic regression for a class of coxph",
      "topics": [
        "autoRegCox"
      ]
    },
    {
      "page": "autoRegsurvreg",
      "title": "perform automatic regression for a class of survreg",
      "topics": [
        "autoRegsurvreg"
      ]
    },
    {
      "page": "beNumeric",
      "title": "Whether a string vector can be converted to numeric",
      "topics": [
        "beNumeric"
      ]
    },
    {
      "page": "bootPredict",
      "title": "Bootstrap simulation for model prediction",
      "topics": [
        "bootPredict"
      ]
    },
    {
      "page": "countGroups",
      "title": "Count groups",
      "topics": [
        "countGroups"
      ]
    },
    {
      "page": "coxzphplot",
      "title": "Graphical Test of Proportional Hazards",
      "topics": [
        "coxzphplot"
      ]
    },
    {
      "page": "crr2stats",
      "title": "Extract statistics from an object of class crr",
      "topics": [
        "crr2stats"
      ]
    },
    {
      "page": "crrFormula",
      "title": "Competing Risk Regression with Formula",
      "topics": [
        "crrFormula"
      ]
    },
    {
      "page": "descNum",
      "title": "Make description for numeric summary",
      "topics": [
        "descNum"
      ]
    },
    {
      "page": "df2flextable",
      "title": "Convert data.frame to flextable",
      "topics": [
        "df2flextable"
      ]
    },
    {
      "page": "drawline",
      "title": "draw line character",
      "topics": [
        "drawline"
      ]
    },
    {
      "page": "expectedPlot",
      "title": "Draw an adjusted Plot for a numeric predictor",
      "topics": [
        "expectedPlot"
      ]
    },
    {
      "page": "filldown",
      "title": "filldown vector with lead value",
      "topics": [
        "filldown"
      ]
    },
    {
      "page": "find1stDup",
      "title": "Find first duplicated position",
      "topics": [
        "find1stDup"
      ]
    },
    {
      "page": "findDup",
      "title": "Find duplicated term",
      "topics": [
        "findDup"
      ]
    },
    {
      "page": "fit2final",
      "title": "Make final model using stepwise backward elimination",
      "topics": [
        "fit2final"
      ]
    },
    {
      "page": "fit2lik",
      "title": "extract likelihood information with a coxph object",
      "topics": [
        "fit2lik"
      ]
    },
    {
      "page": "fit2list",
      "title": "Make a list of univariable model with multivariable regression model",
      "topics": [
        "fit2list"
      ]
    },
    {
      "page": "fit2model",
      "title": "Restore fit model data containing AsIs expressions",
      "topics": [
        "fit2model"
      ]
    },
    {
      "page": "fit2multi",
      "title": "Make multivariable regression model by selecting univariable models with p.value below threshold",
      "topics": [
        "fit2multi"
      ]
    },
    {
      "page": "fit2newdata",
      "title": "Make a new data of mean value or most frequent value",
      "topics": [
        "fit2newdata"
      ]
    },
    {
      "page": "fit2stats",
      "title": "Summarize statistics with a model",
      "topics": [
        "fit2stats"
      ]
    },
    {
      "page": "fit2summary",
      "title": "Summarize statistics with a model or model list",
      "topics": [
        "fit2summary"
      ]
    },
    {
      "page": "gaze",
      "title": "Produce table for descriptive statistics",
      "topics": [
        "gaze",
        "gaze.coxph",
        "gaze.data.frame",
        "gaze.formula",
        "gaze.glm",
        "gaze.lm",
        "gaze.survreg",
        "gaze.tidycrr"
      ]
    },
    {
      "page": "gaze_sub",
      "title": "Summary function for categorical/continuous variable",
      "topics": [
        "gaze_sub"
      ]
    },
    {
      "page": "gaze.formula_sub",
      "title": "Produce table for descriptive statistics",
      "topics": [
        "gaze.formula_sub"
      ]
    },
    {
      "page": "gazeCat",
      "title": "Summary function for categorical variable",
      "topics": [
        "gazeCat"
      ]
    },
    {
      "page": "gazeCont",
      "title": "Summary function for continuous variable",
      "topics": [
        "gazeCont"
      ]
    },
    {
      "page": "getInteraction",
      "title": "Get interaction data from data",
      "topics": [
        "getInteraction"
      ]
    },
    {
      "page": "getN",
      "title": "Get number of data specified by 'name' and 'desc'",
      "topics": [
        "getN"
      ]
    },
    {
      "page": "getSigVars",
      "title": "Get explanatory variables of a model with significance level below the threshold",
      "topics": [
        "getSigVars"
      ]
    },
    {
      "page": "ggcmprsk",
      "title": "Draw Cumulative Incidence Curves for Competing Risks",
      "topics": [
        "ggcmprsk"
      ]
    },
    {
      "page": "ggcmprsk2",
      "title": "Compare cumulative incidence to th Kaplan-Meier estimate",
      "topics": [
        "ggcmprsk2"
      ]
    },
    {
      "page": "highlight2",
      "title": "Highlight a data.frame",
      "topics": [
        "highlight2"
      ]
    },
    {
      "page": "imputedReg",
      "title": "Make a multiple imputed model",
      "topics": [
        "imputedReg"
      ]
    },
    {
      "page": "is.mynumeric",
      "title": "Decide whether a vector can be treated as a numeric variable",
      "topics": [
        "is.mynumeric"
      ]
    },
    {
      "page": "label_parse",
      "title": "takes the breaks as input and returns labels as output",
      "topics": [
        "label_parse"
      ]
    },
    {
      "page": "loglogplot",
      "title": "Draw log-log plot",
      "topics": [
        "loglogplot"
      ]
    },
    {
      "page": "maxnchar",
      "title": "Return maximum character number except NA",
      "topics": [
        "maxnchar"
      ]
    },
    {
      "page": "modelPlot",
      "title": "Draw coefficients/odds ratio/hazard ratio plot",
      "topics": [
        "modelPlot"
      ]
    },
    {
      "page": "modelsSummary",
      "title": "Makes table summarizing list of models",
      "topics": [
        "modelsSummary"
      ]
    },
    {
      "page": "modelsSummaryTable",
      "title": "Makes flextable summarizing list of models",
      "topics": [
        "modelsSummaryTable"
      ]
    },
    {
      "page": "my.chisq.test2",
      "title": "Statistical test for categorical variables Statistical test for categorical variables",
      "topics": [
        "my.chisq.test2"
      ]
    },
    {
      "page": "my.t.test2",
      "title": "Statistical test for continuous variables",
      "topics": [
        "my.t.test2"
      ]
    },
    {
      "page": "mycphSimple",
      "title": "Fit Simple Proportional Hazards Regression Model",
      "topics": [
        "mycphSimple"
      ]
    },
    {
      "page": "myformat",
      "title": "Convert data.frame to printable format",
      "topics": [
        "myformat"
      ]
    },
    {
      "page": "myft",
      "title": "Convert data.frame into flextable",
      "topics": [
        "myft"
      ]
    },
    {
      "page": "mysurvregSimple",
      "title": "Fit Simple AFT Model",
      "topics": [
        "mysurvregSimple"
      ]
    },
    {
      "page": "num2factor",
      "title": "Convert a numeric column in a data.frame to a factor",
      "topics": [
        "num2factor"
      ]
    },
    {
      "page": "num2stat",
      "title": "Summarize numeric vector to statistical summary",
      "topics": [
        "num2stat"
      ]
    },
    {
      "page": "OEplot",
      "title": "Draw an Observed vs Expected plot",
      "topics": [
        "OEplot"
      ]
    },
    {
      "page": "p2character2",
      "title": "Change p value to string",
      "topics": [
        "p2character2"
      ]
    },
    {
      "page": "print.autoReg",
      "title": "S3 method print for an object of class autoReg",
      "topics": [
        "print.autoReg"
      ]
    },
    {
      "page": "print.gaze",
      "title": "S3 method print for an object of class gaze",
      "topics": [
        "print.gaze"
      ]
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    {
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