{
  "_id": "6a19777aacfb0bcc41df2ba1",
  "Package": "EpiForsk",
  "Title": "Code Sharing at the Department of Epidemiology Research at\nStatens Serum Institut",
  "Version": "0.2.2",
  "Authors@R": "c(person(\"Anders\", \"Husby\", , \"andh@ssi.dk\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-7634-8455\")),\nperson(\"Anna\", \"Laksafoss\", , \"adls@ssi.dk\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-9898-2924\")),\nperson(\"Emilia Myrup\", \"Thiesson\", , \"emth@ssi.dk\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0001-6258-4177\")),\nperson(\"Kim Daniel\", \"Jakobsen\", , \"kija@ssi.dk\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0003-0086-9980\")),\nperson(\"Mikael\", \"Andersson\", , \"aso@ssi.dk\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0002-0114-2057\")),\nperson(\"Klaus\", \"Rostgaard\", , \"klp@ssi.dk\", role = c(\"aut\"),\ncomment = c(ORCID = \"0000-0001-6220-9414\")))",
  "Description": "This is a collection of assorted functions and examples\ncollected from various projects. Currently we have\nfunctionalities for simplifying overlapping time intervals,\nCharlson comorbidity score constructors for Danish data,\ngetting frequency for multiple variables, getting standardized\noutput from logistic and log-linear regressions, sibling design\nlinear regression functionalities a method for calculating the\nconfidence intervals for functions of parameters from a GLM,\nBayes equivalent for hypothesis testing with asymptotic Bayes\nfactor, and several help functions for generalized random\nforest analysis using 'grf'.",
  "URL": "https://github.com/Laksafoss/EpiForsk",
  "BugReports": "https://github.com/Laksafoss/EpiForsk/issues",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "LazyData": "true",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev",
  "Repository": "https://laksafoss.r-universe.dev",
  "Date/Publication": "2026-03-30 08:03:11 UTC",
  "RemoteUrl": "https://github.com/laksafoss/epiforsk",
  "RemoteRef": "HEAD",
  "RemoteSha": "57d5ba26b178d5be860f1d208fae9b4d66ecb958",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-29 09:51:13 UTC",
    "User": "root"
  },
  "Author": "Anders Husby [aut] (ORCID: <https://orcid.org/0000-0002-7634-8455>),\nAnna Laksafoss [aut] (ORCID: <https://orcid.org/0000-0002-9898-2924>),\nEmilia Myrup Thiesson [aut] (ORCID:\n<https://orcid.org/0000-0001-6258-4177>),\nKim Daniel Jakobsen [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-0086-9980>),\nMikael Andersson [aut] (ORCID: <https://orcid.org/0000-0002-0114-2057>),\nKlaus Rostgaard [aut] (ORCID: <https://orcid.org/0000-0001-6220-9414>)",
  "Maintainer": "Kim Daniel Jakobsen <kija@ssi.dk>",
  "MD5sum": "d5b220dd86223a4e0219c7bf60c7f388",
  "_user": "laksafoss",
  "_type": "src",
  "_file": "EpiForsk_0.2.2.tar.gz",
  "_fileid": "6e6ef6d592cb71d2bdb1a15d789b231f4e9b430b00f764bf2251a980c33a52a6",
  "_filesize": 1388930,
  "_sha256": "6e6ef6d592cb71d2bdb1a15d789b231f4e9b430b00f764bf2251a980c33a52a6",
  "_created": "2026-05-29T09:51:13.000Z",
  "_published": "2026-05-29T11:24:42.691Z",
  "_distro": "noble",
  "_jobs": [
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  "_buildurl": "https://github.com/r-universe/laksafoss/actions/runs/26630341100",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/laksafoss/epiforsk",
  "_commit": {
    "id": "57d5ba26b178d5be860f1d208fae9b4d66ecb958",
    "author": "Kim Daniel Jakobsen <kim.jakobsen@jc-aps.dk>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Merge pull request #37 from Laksafoss/kija\n\nFix CRAN check errors",
    "time": 1774857791
  },
  "_maintainer": {
    "name": "Kim Daniel Jakobsen",
    "email": "kija@ssi.dk",
    "login": "kjakobse",
    "description": "",
    "uuid": 83131406,
    "orcid": "0000-0003-0086-9980"
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  "_registered": true,
  "_dependencies": [
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      "package": "R",
      "version": ">= 4.2",
      "role": "Depends"
    },
    {
      "package": "broom",
      "role": "Imports"
    },
    {
      "package": "cowplot",
      "role": "Imports"
    },
    {
      "package": "data.table",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "role": "Imports"
    },
    {
      "package": "forcats",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "role": "Imports"
    },
    {
      "package": "glue",
      "role": "Imports"
    },
    {
      "package": "grf",
      "role": "Imports"
    },
    {
      "package": "gridExtra",
      "role": "Imports"
    },
    {
      "package": "Hmisc",
      "role": "Imports"
    },
    {
      "package": "MatchIt",
      "role": "Imports"
    },
    {
      "package": "methods",
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    },
    {
      "package": "nnet",
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    },
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      "package": "patchwork",
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    },
    {
      "package": "policytree",
      "role": "Imports"
    },
    {
      "package": "progressr",
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    },
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      "package": "purrr",
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    },
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      "package": "rlang",
      "role": "Imports"
    },
    {
      "package": "stringr",
      "role": "Imports"
    },
    {
      "package": "survey",
      "role": "Imports"
    },
    {
      "package": "survival",
      "role": "Imports"
    },
    {
      "package": "svyVGAM",
      "role": "Imports"
    },
    {
      "package": "tidyr",
      "role": "Imports"
    },
    {
      "package": "VGAM",
      "role": "Imports"
    },
    {
      "package": "cli",
      "role": "Suggests"
    },
    {
      "package": "CVXR",
      "role": "Suggests"
    },
    {
      "package": "furrr",
      "role": "Suggests"
    },
    {
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      "role": "Suggests"
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      "package": "ggsci",
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    {
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    },
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      "package": "parallel",
      "role": "Suggests"
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    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
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  ],
  "_owner": "laksafoss",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-28",
      "n": 1
    },
    {
      "week": "2025-32",
      "n": 1
    },
    {
      "week": "2026-11",
      "n": 1
    },
    {
      "week": "2026-14",
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    }
  ],
  "_tags": [
    {
      "name": "v0.2.0",
      "date": "2025-08-06"
    },
    {
      "name": "v0.2.1",
      "date": "2026-03-09"
    },
    {
      "name": "v0.2.2",
      "date": "2026-03-30"
    }
  ],
  "_topics": [
    "epidemiology"
  ],
  "_stars": 0,
  "_contributors": [
    {
      "user": "kjakobse",
      "count": 97,
      "uuid": 83131406
    },
    {
      "user": "laksafoss",
      "count": 35,
      "uuid": 32563680
    },
    {
      "user": "ethiesson",
      "count": 1,
      "uuid": 117656149
    }
  ],
  "_userbio": {
    "uuid": 32563680,
    "type": "user",
    "name": "Anna Laksafoss"
  },
  "_downloads": {
    "count": 536,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/EpiForsk"
  },
  "_devurl": "https://github.com/laksafoss/epiforsk",
  "_searchresults": 10,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/EpiForsk.html",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/laksafoss/epiforsk",
  "_realowner": "laksafoss",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.0.1",
      "date": "2023-02-10"
    },
    {
      "version": "0.1.1",
      "date": "2024-02-26"
    },
    {
      "version": "0.2.0",
      "date": "2025-08-20"
    },
    {
      "version": "0.2.1",
      "date": "2026-03-19"
    },
    {
      "version": "0.2.2",
      "date": "2026-03-30"
    }
  ],
  "_exports": [
    ".datatable.aware",
    "asympBF",
    "braid_rows",
    "CATESurface",
    "CausalForestDynamicSubgroups",
    "CForBenefit",
    "charlson_score",
    "CovariateBalance",
    "DiscreteCovariatesToOneHot",
    "fct_confint",
    "flatten_date_intervals",
    "FlattenDatesDT",
    "freq_function",
    "freq_function_repeated",
    "invasympBF",
    "invlogasympBF",
    "invwatershed",
    "ListPermute",
    "lms",
    "logasympBF",
    "many_merge",
    "multi_join",
    "odds_ratio_function",
    "odds_ratio_function_repeated",
    "RATEOmnibusTest",
    "RATETest",
    "try_catch_warnings",
    "watershed"
  ],
  "_datasets": [
    {
      "name": "adls_timevarying_region_data",
      "title": "Simulated Time-Varying Residence Data",
      "object": "adls_timevarying_region_data",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "id",
        "dob",
        "region",
        "move_in",
        "move_out",
        "gender",
        "claim"
      ],
      "rows": 546,
      "table": true,
      "tojson": true
    },
    {
      "name": "andh_forest_data",
      "title": "Example Data for Husby's Forest Plot Vignette",
      "object": "andh_forest_data",
      "class": [
        "spec_tbl_df",
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "type",
        "indent",
        "text",
        "A_est",
        "A_l",
        "A_u",
        "B_est",
        "B_l",
        "B_u",
        "C_est",
        "C_l",
        "C_u"
      ],
      "rows": 18,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "EpiForsk-package",
      "title": "EpiForsk",
      "topics": [
        "EpiForsk-package",
        "EpiForsk"
      ]
    },
    {
      "page": "dot-datatable.aware",
      "title": "make package data table aware",
      "topics": [
        ".datatable.aware"
      ]
    },
    {
      "page": "adls_timevarying_region_data",
      "title": "Simulated Time-Varying Residence Data",
      "topics": [
        "adls_timevarying_region_data"
      ]
    },
    {
      "page": "andh_forest_data",
      "title": "Example Data for Husby's Forest Plot Vignette",
      "topics": [
        "andh_forest_data"
      ]
    },
    {
      "page": "braid_rows",
      "title": "Bind lists of list of multiple data frames by row",
      "topics": [
        "braid_rows"
      ]
    },
    {
      "page": "CATESurface",
      "title": "Calculate CATE on a surface in the covariate space",
      "topics": [
        "CATESurface"
      ]
    },
    {
      "page": "CausalForestDynamicSubgroups",
      "title": "Calculate CATE in dynamically determined subgroups",
      "topics": [
        "CausalForestDynamicSubgroups"
      ]
    },
    {
      "page": "ceiling_dec",
      "title": "Round numbers up to a given number of decimal places",
      "topics": [
        "ceiling_dec"
      ]
    },
    {
      "page": "CForBenefit",
      "title": "c-for-benefit",
      "topics": [
        "CForBenefit"
      ]
    },
    {
      "page": "charlson_score",
      "title": "Charlson Score Constructor",
      "topics": [
        "charlson_score"
      ]
    },
    {
      "page": "ci_fct",
      "title": "solve optimization problem for CI bounds",
      "topics": [
        "ci_fct"
      ]
    },
    {
      "page": "ci_fct_error_handler",
      "title": "Handle errors returned by ci_fct",
      "topics": [
        "ci_fct_error_handler"
      ]
    },
    {
      "page": "CovariateBalance",
      "title": "Plots for checking covariate balance in causal forest",
      "topics": [
        "CovariateBalance"
      ]
    },
    {
      "page": "decimalplaces",
      "title": "Determine number of decimal places",
      "topics": [
        "decimalplaces"
      ]
    },
    {
      "page": "DiscreteCovariateNames",
      "title": "Extract discrete covariate names",
      "topics": [
        "DiscreteCovariateNames"
      ]
    },
    {
      "page": "DiscreteCovariatesToOneHot",
      "title": "One-hot encode factors",
      "topics": [
        "DiscreteCovariatesToOneHot"
      ]
    },
    {
      "page": "fct_confint",
      "title": "Confidence set for functions of model parameters",
      "topics": [
        "fct_confint",
        "fct_confint.default",
        "fct_confint.glm",
        "fct_confint.lm",
        "fct_confint.lms"
      ]
    },
    {
      "page": "flatten_date_intervals",
      "title": "Flatten Date Intervals",
      "topics": [
        "flatten_date_intervals"
      ]
    },
    {
      "page": "FlattenDatesDT",
      "title": "Flatten Date Intervals",
      "topics": [
        "FlattenDatesDT"
      ]
    },
    {
      "page": "floor_dec",
      "title": "Round numbers down to a given number of decimal places",
      "topics": [
        "floor_dec"
      ]
    },
    {
      "page": "freq_function",
      "title": "Frequency Tables with Percentage and Odds Ratios",
      "topics": [
        "freq_function"
      ]
    },
    {
      "page": "freq_function_repeated",
      "title": "Wrapper for 'freq_function()' to get frequencies for many variables in one go.",
      "topics": [
        "freq_function_repeated"
      ]
    },
    {
      "page": "ListPermute",
      "title": "Permute the levels of a nested list",
      "topics": [
        "ListPermute"
      ]
    },
    {
      "page": "lms",
      "title": "Wrapper around lm for sibling design",
      "topics": [
        "lms",
        "print.lms"
      ]
    },
    {
      "page": "asympBF",
      "title": "Asymptotic Bayes factors",
      "topics": [
        "asympBF",
        "invasympBF",
        "invlogasympBF",
        "invwatershed",
        "logasympBF",
        "watershed"
      ]
    },
    {
      "page": "many_merge",
      "title": "Merging Many Data Frames with Name Handling",
      "topics": [
        "many_merge"
      ]
    },
    {
      "page": "multi_join",
      "title": "Join many data frames with name handling",
      "topics": [
        "multi_join"
      ]
    },
    {
      "page": "odds_ratio_function",
      "title": "Easier to perform logistic and log-linear regressions giving a standardized output table",
      "topics": [
        "odds_ratio_function"
      ]
    },
    {
      "page": "odds_ratio_function_repeated",
      "title": "Wrapper for the 'odds_ratio_function()'to perform several similar analyses in one go",
      "topics": [
        "odds_ratio_function_repeated"
      ]
    },
    {
      "page": "RATEOmnibusTest",
      "title": "RATE based omnibus test of heterogeneity",
      "topics": [
        "RATEOmnibusTest",
        "RATEOmnibusTest.causal_forest",
        "RATEOmnibusTest.causal_survival_forest"
      ]
    },
    {
      "page": "RATETest",
      "title": "wrapper for rank_average_treatment_effect",
      "topics": [
        "RATETest"
      ]
    },
    {
      "page": "summary.svy_vglm",
      "title": "Summary function for svy_vglm objects",
      "topics": [
        "summary.svy_vglm"
      ]
    },
    {
      "page": "try_catch_warnings",
      "title": "Try Catch with Warning Handling",
      "topics": [
        "try_catch_warnings"
      ]
    },
    {
      "page": "vcovHC",
      "title": "Heteroscedasticity-Consistent Covariance Matrix",
      "topics": [
        "vcovHC"
      ]
    }
  ],
  "_readme": "https://github.com/laksafoss/epiforsk/raw/HEAD/README.md",
  "_rundeps": [
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    "base64enc",
    "BH",
    "broom",
    "bslib",
    "cachem",
    "checkmate",
    "chk",
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    "cluster",
    "colorspace",
    "cowplot",
    "cpp11",
    "data.table",
    "DBI",
    "DiceKriging",
    "digest",
    "dplyr",
    "evaluate",
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    "fontawesome",
    "forcats",
    "foreign",
    "Formula",
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    "htmlTable",
    "htmltools",
    "htmlwidgets",
    "isoband",
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    "lattice",
    "lifecycle",
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    "magrittr",
    "MatchIt",
    "Matrix",
    "memoise",
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    "minqa",
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    "numDeriv",
    "patchwork",
    "pillar",
    "pkgconfig",
    "policytree",
    "progressr",
    "purrr",
    "R6",
    "rappdirs",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "RcppEigen",
    "RcppProgress",
    "rlang",
    "rmarkdown",
    "rpart",
    "rstudioapi",
    "S7",
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    "scales",
    "stringi",
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    "survey",
    "survival",
    "svyVGAM",
    "tibble",
    "tidyr",
    "tidyselect",
    "tinytex",
    "utf8",
    "vctrs",
    "VGAM",
    "viridisLite",
    "withr",
    "xfun",
    "yaml",
    "zoo"
  ],
  "_vignettes": [
    {
      "source": "Contributing.Rmd",
      "filename": "Contributing.html",
      "title": "Contributing to EpiForsk",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Managing Git Credentials",
        "Clone the EpiForsk repository",
        "Contribution workflow",
        "Additional"
      ],
      "created": "2022-12-05 08:36:09",
      "modified": "2023-01-17 09:56:56",
      "commits": 3
    },
    {
      "source": "andh_forest_plot.Rmd",
      "filename": "andh_forest_plot.html",
      "title": "Husby's Multi Faceted Forest Plot",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Example 1: Plain text"
      ],
      "created": "2022-11-07 14:44:05",
      "modified": "2024-02-26 09:53:29",
      "commits": 5
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