{
  "_id": "6a1ed743b401979e7340ed51",
  "Package": "multibias",
  "Type": "Package",
  "Title": "Multiple Bias Analysis in Causal Inference",
  "Version": "1.7.3",
  "Date": "2026-04-20",
  "Authors@R": "person(\"Paul\", \"Brendel\", email = \"pcbrendel@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\"))",
  "Maintainer": "Paul Brendel <pcbrendel@gmail.com>",
  "Description": "Quantify exposure-outcome causal effects with adjustment\nfor multiple biases. The functions can simultaneously adjust\nfor any combination of uncontrolled confounding,\nexposure/outcome misclassification, and selection bias. The\nunderlying method generalizes the combination of inverse\nprobability of selection weighting with predictive value\nweighting. Simultaneous multi-bias analysis can be used to\nenhance the validity and transparency of real-world evidence\nobtained from observational, longitudinal studies. Based on the\nwork from Paul Brendel, Aracelis Torres, and Onyebuchi Arah\n(2023) <doi:10.1093/ije/dyad001>.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "true",
  "RoxygenNote": "7.3.2",
  "URL": "https://github.com/pcbrendel/multibias,\nhttp://www.paulbrendel.com/multibias/",
  "BugReports": "https://github.com/pcbrendel/multibias/issues",
  "Config/testthat/edition": "3",
  "VignetteBuilder": "knitr",
  "Roxygen": "list(markdown = TRUE)",
  "Config/pak/sysreqs": "libicu-dev",
  "Repository": "https://pcbrendel.r-universe.dev",
  "Date/Publication": "2026-04-20 22:42:42 UTC",
  "RemoteUrl": "https://github.com/pcbrendel/multibias",
  "RemoteRef": "HEAD",
  "RemoteSha": "4b68218f5500b3b0e79b64e396c76c32e92514aa",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-20 10:03:47 UTC",
    "User": "root"
  },
  "Author": "Paul Brendel [aut, cre, cph]",
  "MD5sum": "7c3d675a9a0d608b2e9372873c36dbbb",
  "_user": "pcbrendel",
  "_type": "src",
  "_file": "multibias_1.7.3.tar.gz",
  "_fileid": "6f4ce776c00ef5e96eaea99e2c1ad500e849838ed7f66417dc6027e8975fd9bb",
  "_filesize": 3406183,
  "_sha256": "6f4ce776c00ef5e96eaea99e2c1ad500e849838ed7f66417dc6027e8975fd9bb",
  "_created": "2026-05-20T10:03:47.000Z",
  "_published": "2026-06-02T13:14:43.286Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 79078930839,
      "time": 297,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7107120519"
    },
    {
      "job": 79078930840,
      "time": 279,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7107114743"
    },
    {
      "job": 79078931196,
      "time": 241,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7107093036"
    },
    {
      "job": 79078930925,
      "time": 238,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7107088996"
    },
    {
      "job": 79078930344,
      "time": 275,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7107017190"
    },
    {
      "job": 79078930024,
      "time": 120,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7358684990"
    },
    {
      "job": 79078930757,
      "time": 312,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7107125734"
    },
    {
      "job": 79078931070,
      "time": 292,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7107118714"
    },
    {
      "job": 79078930758,
      "time": 312,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7107125771"
    }
  ],
  "_buildurl": "https://github.com/r-universe/pcbrendel/actions/runs/26155334617",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/pcbrendel/multibias",
  "_commit": {
    "id": "4b68218f5500b3b0e79b64e396c76c32e92514aa",
    "author": "pcbrendel <pcbrendel@gmail.com>",
    "committer": "pcbrendel <pcbrendel@gmail.com>",
    "message": "fix link\n",
    "time": 1776724962
  },
  "_maintainer": {
    "name": "Paul Brendel",
    "email": "pcbrendel@gmail.com",
    "login": "pcbrendel",
    "description": "Epidemiologist & Data Scientist",
    "uuid": 36274493
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.2.0",
      "role": "Depends"
    },
    {
      "package": "dplyr",
      "version": ">= 1.1.3",
      "role": "Imports"
    },
    {
      "package": "lifecycle",
      "version": ">= 1.0.3",
      "role": "Imports"
    },
    {
      "package": "magrittr",
      "version": ">= 2.0.3",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "version": ">= 1.1.1",
      "role": "Imports"
    },
    {
      "package": "broom",
      "version": ">= 1.0.5",
      "role": "Imports"
    },
    {
      "package": "purrr",
      "version": ">= 1.0.0",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "version": ">= 3.5.0",
      "role": "Imports"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "MASS",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "vdiffr",
      "version": ">= 1.0.5",
      "role": "Suggests"
    }
  ],
  "_owner": "pcbrendel",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-24",
      "n": 10
    },
    {
      "week": "2025-37",
      "n": 1
    },
    {
      "week": "2025-46",
      "n": 1
    },
    {
      "week": "2026-11",
      "n": 1
    },
    {
      "week": "2026-17",
      "n": 2
    }
  ],
  "_tags": [
    {
      "name": "v1.7.2",
      "date": "2025-06-15"
    },
    {
      "name": "v1.7.3",
      "date": "2026-04-20"
    }
  ],
  "_topics": [
    "causal-inference",
    "causal-models",
    "epidemiology"
  ],
  "_stars": 2,
  "_contributors": [
    {
      "user": "pcbrendel",
      "count": 446,
      "uuid": 36274493
    },
    {
      "user": "pbrendel-valo",
      "count": 31,
      "uuid": 93228851
    }
  ],
  "_userbio": {
    "uuid": 36274493,
    "type": "user",
    "name": "Paul Brendel",
    "description": "Epidemiologist & Data Scientist"
  },
  "_downloads": {
    "count": 581,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/multibias"
  },
  "_devurl": "https://github.com/pcbrendel/multibias",
  "_pkgdown": "http://www.paulbrendel.com/multibias/",
  "_searchresults": 13,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/multibias.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/pcbrendel/multibias",
  "_realowner": "pcbrendel",
  "_cranurl": true,
  "_releases": [
    {
      "version": "1.0.0",
      "date": "2023-09-21"
    },
    {
      "version": "1.1.0",
      "date": "2023-10-06"
    },
    {
      "version": "1.2.0",
      "date": "2023-10-16"
    },
    {
      "version": "1.2.1",
      "date": "2023-10-22"
    },
    {
      "version": "1.3.0",
      "date": "2023-12-11"
    },
    {
      "version": "1.4.0",
      "date": "2024-01-28"
    },
    {
      "version": "1.5.0",
      "date": "2024-05-05"
    },
    {
      "version": "1.5.1",
      "date": "2024-06-20"
    },
    {
      "version": "1.5.2",
      "date": "2024-08-21"
    },
    {
      "version": "1.5.3",
      "date": "2024-09-22"
    },
    {
      "version": "1.6",
      "date": "2024-10-26"
    },
    {
      "version": "1.6.1",
      "date": "2024-12-02"
    },
    {
      "version": "1.6.2",
      "date": "2025-01-08"
    },
    {
      "version": "1.6.3",
      "date": "2025-02-23"
    },
    {
      "version": "1.7",
      "date": "2025-04-08"
    },
    {
      "version": "1.7.1",
      "date": "2025-05-10"
    },
    {
      "version": "1.7.2",
      "date": "2025-06-15"
    },
    {
      "version": "1.7.3",
      "date": "2026-04-21"
    }
  ],
  "_exports": [
    "bias_params",
    "data_observed",
    "data_validation",
    "multibias_adjust",
    "multibias_plot"
  ],
  "_datasets": [
    {
      "name": "df_em",
      "title": "Simulated data with exposure misclassification",
      "object": "df_em",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Xstar",
        "Y",
        "C1",
        "C2",
        "C3"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_em_om",
      "title": "Simulated data with exposure misclassification and outcome misclassification",
      "object": "df_em_om",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Xstar",
        "Ystar",
        "C1",
        "C2",
        "C3"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_em_om_source",
      "title": "Data source for 'df_em_om'",
      "object": "df_em_om_source",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3",
        "Xstar",
        "Ystar"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_em_sel",
      "title": "Simulated data with exposure misclassification and selection bias",
      "object": "df_em_sel",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Xstar",
        "Y",
        "C1",
        "C2",
        "C3"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_em_sel_source",
      "title": "Data source for 'df_em_sel'",
      "object": "df_em_sel_source",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3",
        "Xstar",
        "S"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_em_source",
      "title": "Data source for 'df_em'",
      "object": "df_em_source",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3",
        "Xstar"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_om",
      "title": "Simulated data with outcome misclassification",
      "object": "df_om",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Ystar",
        "C1",
        "C2",
        "C3"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_om_sel",
      "title": "Simulated data with outcome misclassification and selection bias",
      "object": "df_om_sel",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Ystar",
        "C1",
        "C2",
        "C3"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_om_sel_source",
      "title": "Data source for 'df_om_sel'",
      "object": "df_om_sel_source",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3",
        "Ystar",
        "S"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_om_source",
      "title": "Data source for 'df_om'",
      "object": "df_om_source",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3",
        "Ystar"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_sel",
      "title": "Simulated data with selection bias",
      "object": "df_sel",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_sel_source",
      "title": "Data source for 'df_sel'",
      "object": "df_sel_source",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3",
        "S"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_uc",
      "title": "Simulated data with uncontrolled confounding",
      "object": "df_uc",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X_bi",
        "X_cont",
        "Y_bi",
        "Y_cont",
        "C1",
        "C2",
        "C3"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_uc_em",
      "title": "Simulated data with uncontrolled confounding and exposure misclassification",
      "object": "df_uc_em",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Xstar",
        "Y",
        "C1",
        "C2",
        "C3"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_uc_em_sel",
      "title": "Simulated data with uncontrolled confounding, exposure misclassification, and selection bias",
      "object": "df_uc_em_sel",
      "class": [
        "data.frame"
      ],
      "fields": [
        "Xstar",
        "Y",
        "C1",
        "C2",
        "C3"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_uc_em_sel_source",
      "title": "Data source for 'df_uc_em_sel'",
      "object": "df_uc_em_sel_source",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3",
        "U",
        "Xstar",
        "S"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_uc_em_source",
      "title": "Data source for 'df_uc_em'",
      "object": "df_uc_em_source",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3",
        "U",
        "Xstar"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_uc_om",
      "title": "Simulated data with uncontrolled confounding and outcome misclassification",
      "object": "df_uc_om",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Ystar",
        "C1",
        "C2",
        "C3"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_uc_om_sel",
      "title": "Simulated data with uncontrolled confounding, outcome misclassification, and selection bias",
      "object": "df_uc_om_sel",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Ystar",
        "C1",
        "C2",
        "C3"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_uc_om_sel_source",
      "title": "Data source for 'df_uc_om_sel'",
      "object": "df_uc_om_sel_source",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3",
        "U",
        "Ystar",
        "S"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_uc_om_source",
      "title": "Data source for 'df_uc_om'",
      "object": "df_uc_om_source",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3",
        "U",
        "Ystar"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_uc_sel",
      "title": "Simulated data with uncontrolled confounding and selection bias",
      "object": "df_uc_sel",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_uc_sel_source",
      "title": "Data source for 'df_uc_sel'",
      "object": "df_uc_sel_source",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X",
        "Y",
        "C1",
        "C2",
        "C3",
        "U",
        "S"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    },
    {
      "name": "df_uc_source",
      "title": "Data source for 'df_uc'",
      "object": "df_uc_source",
      "class": [
        "data.frame"
      ],
      "fields": [
        "X_bi",
        "X_cont",
        "Y_bi",
        "Y_cont",
        "C1",
        "C2",
        "C3",
        "U"
      ],
      "rows": 100000,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bias_params",
      "title": "Represent bias parameters",
      "topics": [
        "bias_params"
      ]
    },
    {
      "page": "data_observed",
      "title": "Represent observed causal data",
      "topics": [
        "data_observed"
      ]
    },
    {
      "page": "data_validation",
      "title": "Represent validation causal data",
      "topics": [
        "data_validation"
      ]
    },
    {
      "page": "df_em",
      "title": "Simulated data with exposure misclassification",
      "topics": [
        "df_em"
      ]
    },
    {
      "page": "df_em_om",
      "title": "Simulated data with exposure misclassification and outcome misclassification",
      "topics": [
        "df_em_om"
      ]
    },
    {
      "page": "df_em_om_source",
      "title": "Data source for 'df_em_om'",
      "topics": [
        "df_em_om_source"
      ]
    },
    {
      "page": "df_em_sel",
      "title": "Simulated data with exposure misclassification and selection bias",
      "topics": [
        "df_em_sel"
      ]
    },
    {
      "page": "df_em_sel_source",
      "title": "Data source for 'df_em_sel'",
      "topics": [
        "df_em_sel_source"
      ]
    },
    {
      "page": "df_em_source",
      "title": "Data source for 'df_em'",
      "topics": [
        "df_em_source"
      ]
    },
    {
      "page": "df_om",
      "title": "Simulated data with outcome misclassification",
      "topics": [
        "df_om"
      ]
    },
    {
      "page": "df_om_sel",
      "title": "Simulated data with outcome misclassification and selection bias",
      "topics": [
        "df_om_sel"
      ]
    },
    {
      "page": "df_om_sel_source",
      "title": "Data source for 'df_om_sel'",
      "topics": [
        "df_om_sel_source"
      ]
    },
    {
      "page": "df_om_source",
      "title": "Data source for 'df_om'",
      "topics": [
        "df_om_source"
      ]
    },
    {
      "page": "df_sel",
      "title": "Simulated data with selection bias",
      "topics": [
        "df_sel"
      ]
    },
    {
      "page": "df_sel_source",
      "title": "Data source for 'df_sel'",
      "topics": [
        "df_sel_source"
      ]
    },
    {
      "page": "df_uc",
      "title": "Simulated data with uncontrolled confounding",
      "topics": [
        "df_uc"
      ]
    },
    {
      "page": "df_uc_em",
      "title": "Simulated data with uncontrolled confounding and exposure misclassification",
      "topics": [
        "df_uc_em"
      ]
    },
    {
      "page": "df_uc_em_sel",
      "title": "Simulated data with uncontrolled confounding, exposure misclassification, and selection bias",
      "topics": [
        "df_uc_em_sel"
      ]
    },
    {
      "page": "df_uc_em_sel_source",
      "title": "Data source for 'df_uc_em_sel'",
      "topics": [
        "df_uc_em_sel_source"
      ]
    },
    {
      "page": "df_uc_em_source",
      "title": "Data source for 'df_uc_em'",
      "topics": [
        "df_uc_em_source"
      ]
    },
    {
      "page": "df_uc_om",
      "title": "Simulated data with uncontrolled confounding and outcome misclassification",
      "topics": [
        "df_uc_om"
      ]
    },
    {
      "page": "df_uc_om_sel",
      "title": "Simulated data with uncontrolled confounding, outcome misclassification, and selection bias",
      "topics": [
        "df_uc_om_sel"
      ]
    },
    {
      "page": "df_uc_om_sel_source",
      "title": "Data source for 'df_uc_om_sel'",
      "topics": [
        "df_uc_om_sel_source"
      ]
    },
    {
      "page": "df_uc_om_source",
      "title": "Data source for 'df_uc_om'",
      "topics": [
        "df_uc_om_source"
      ]
    },
    {
      "page": "df_uc_sel",
      "title": "Simulated data with uncontrolled confounding and selection bias",
      "topics": [
        "df_uc_sel"
      ]
    },
    {
      "page": "df_uc_sel_source",
      "title": "Data source for 'df_uc_sel'",
      "topics": [
        "df_uc_sel_source"
      ]
    },
    {
      "page": "df_uc_source",
      "title": "Data source for 'df_uc'",
      "topics": [
        "df_uc_source"
      ]
    },
    {
      "page": "multibias_adjust",
      "title": "Simultaneously adjust for multiple biases",
      "topics": [
        "multibias_adjust"
      ]
    },
    {
      "page": "multibias_plot",
      "title": "Create a Forest Plot comparing observed and adjusted effect estimates",
      "topics": [
        "multibias_plot"
      ]
    }
  ],
  "_pkglogo": "https://github.com/pcbrendel/multibias/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/pcbrendel/multibias/raw/HEAD/README.md",
  "_rundeps": [
    "backports",
    "broom",
    "cli",
    "cpp11",
    "dplyr",
    "farver",
    "generics",
    "ggplot2",
    "glue",
    "gtable",
    "isoband",
    "labeling",
    "lifecycle",
    "magrittr",
    "pillar",
    "pkgconfig",
    "purrr",
    "R6",
    "RColorBrewer",
    "rlang",
    "S7",
    "scales",
    "stringi",
    "stringr",
    "tibble",
    "tidyr",
    "tidyselect",
    "utf8",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_vignettes": [
    {
      "source": "faq.Rmd",
      "filename": "faq.html",
      "title": "Frequently Asked Questions",
      "engine": "knitr::rmarkdown",
      "headings": [
        "How does multibias fit into the causal inference workflow?",
        "My causal analysis leveraged propensity scores - how does that fit into a multibias analysis?",
        "What is bootstrapping and how is it relevant here?",
        "How do I cite multibias?",
        "Does multibias support time-to-event data and analyses?"
      ],
      "created": "2025-06-11 02:57:06",
      "modified": "2025-06-11 02:57:06",
      "commits": 1
    },
    {
      "source": "multibias.Rmd",
      "filename": "multibias.html",
      "title": "Introduction to multibias",
      "engine": "knitr::rmarkdown",
      "headings": [
        "1. Create data_observed",
        "2. Create source for bias adjustment",
        "Option 1: Bias parameters",
        "Option 2: Validation data",
        "3. Run the bias adjustment",
        "Single run",
        "Bootstrapping",
        "4. Visualize results"
      ],
      "created": "2024-10-26 19:40:44",
      "modified": "2025-06-11 02:57:06",
      "commits": 12
    },
    {
      "source": "evans_example.Rmd",
      "filename": "evans_example.html",
      "title": "Multibias example: Evans",
      "engine": "knitr::rmarkdown",
      "headings": [],
      "created": "2025-02-19 05:32:39",
      "modified": "2025-05-06 01:53:26",
      "commits": 7
    },
    {
      "source": "nhanes_example.Rmd",
      "filename": "nhanes_example.html",
      "title": "Multibias example: NHANES",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "Setup",
        "Data Preparation and Exploration",
        "Creating the Exposure Variable",
        "Data Characteristics",
        "Multiple Bias Analysis",
        "1. Adjusting for Uncontrolled Confounding",
        "2. Adding Exposure Misclassification Adjustment",
        "3. Adding Selection Bias Adjustment",
        "Visualize Results",
        "Discussion"
      ],
      "created": "2025-02-19 05:32:39",
      "modified": "2026-04-20 22:42:42",
      "commits": 13
    },
    {
      "source": "multibias_validation.Rmd",
      "filename": "multibias_validation.html",
      "title": "Multibias Validation",
      "engine": "knitr::rmarkdown",
      "headings": [],
      "created": "2025-02-19 05:32:39",
      "modified": "2025-05-08 21:56:48",
      "commits": 5
    }
  ],
  "_score": 5.511883360978874,
  "_indexed": true,
  "_nocasepkg": "multibias",
  "_universes": [
    "pcbrendel"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.7.3",
      "date": "2026-05-20T10:06:10.000Z",
      "distro": "noble",
      "commit": "4b68218f5500b3b0e79b64e396c76c32e92514aa",
      "fileid": "3b879d9845a994ff10bf10bf9e026bf7fa1e5b9447d876d9c3a384b8349d0429",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pcbrendel/actions/runs/26155334617"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.7.3",
      "date": "2026-05-20T10:06:05.000Z",
      "distro": "noble",
      "commit": "4b68218f5500b3b0e79b64e396c76c32e92514aa",
      "fileid": "02e4c0803fdbb5f0df998573526df38d2f27d200aedccf1af7c1428a6600b257",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pcbrendel/actions/runs/26155334617"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.7.3",
      "date": "2026-05-20T10:05:52.000Z",
      "commit": "4b68218f5500b3b0e79b64e396c76c32e92514aa",
      "fileid": "23be597cd15101ac3e51d2c78f5d06f296f2d468341dfe3a38cca16a53304cfc",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pcbrendel/actions/runs/26155334617"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.7.3",
      "date": "2026-05-20T10:05:43.000Z",
      "commit": "4b68218f5500b3b0e79b64e396c76c32e92514aa",
      "fileid": "5589394c10cf7213a9fea624612ea69fcecc398b4ea1213bfc922d6526369401",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pcbrendel/actions/runs/26155334617"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.7.3",
      "date": "2026-05-20T10:05:20.000Z",
      "commit": "4b68218f5500b3b0e79b64e396c76c32e92514aa",
      "fileid": "feb2e4529e45c2c53550b6831b8ce43c0a7a5c05b8fb7c3aa052eb350e5d0524",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pcbrendel/actions/runs/26155334617"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.7.3",
      "date": "2026-05-20T10:05:07.000Z",
      "commit": "4b68218f5500b3b0e79b64e396c76c32e92514aa",
      "fileid": "eb508957aa3d1a6527aec4727ceae10fec9d3e78d26c0f6729495b10b8de8c1b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pcbrendel/actions/runs/26155334617"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.7.3",
      "date": "2026-05-20T10:05:20.000Z",
      "commit": "4b68218f5500b3b0e79b64e396c76c32e92514aa",
      "fileid": "f8728184cf3238775a35c44b2f273ee735ca50910d3ae414ab09d42500454608",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/pcbrendel/actions/runs/26155334617"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.7.3",
      "date": "2026-06-02T13:14:22.000Z",
      "commit": "4b68218f5500b3b0e79b64e396c76c32e92514aa",
      "fileid": "0b6b5ef0217df2e051470c651d94d3def192b8f0f38d22627fae555cee1924a2",
      "status": "success",
      "buildurl": "https://github.com/r-universe/pcbrendel/actions/runs/26155334617"
    }
  ]
}