{
  "_id": "6a2727b724555f66ed52b8d1",
  "Package": "surveycore",
  "Title": "Core Survey Analysis Infrastructure",
  "Version": "1.0.0",
  "Authors@R": "c(\nperson(\n\"Jacob\", \"Dennen\",\nemail = \"jdenn0514@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0003-3006-7364\")\n),\nperson(\n\"Thomas\", \"Lumley\",\nrole = c(\"ctb\", \"cph\"),\ncomment = \"Author of variance estimation code vendored from the 'survey' package\"\n))",
  "Description": "A modern, 'S7'-based foundation for survey analysis\nspanning both probability and non-probability samples.\nProbability sample designs include Taylor series linearization,\nreplicate weights (BRR, Fay, jackknife, bootstrap), and\ntwo-phase estimation, following 'Lumley' (2004)\n<doi:10.18637/jss.v009.i08>. Non-probability sample designs\nsupport bootstrap and jackknife variance estimation for opt-in\npanels and convenience samples. Provides a unified estimator\ninterface for means, frequencies, totals, quantiles, ratios,\ncorrelations, regression, and t-tests, with weighted\n'polychoric' and 'polyserial' correlation following 'Mannan'\n(2025) <doi:10.2139/ssrn.6580480>. A metadata system preserves\n'haven'-style variable labels, value labels, and\nquestion-preface attributes through all operations. Uses a\n'tidyselect' interface throughout.",
  "License": "GPL (>= 3)",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "VignetteBuilder": "knitr",
  "Config/testthat/edition": "3",
  "URL": "https://github.com/JDenn0514/surveycore,\nhttps://jdenn0514.github.io/surveycore/",
  "BugReports": "https://github.com/JDenn0514/surveycore/issues",
  "LazyData": "true",
  "LazyDataCompression": "xz",
  "Repository": "https://jdenn0514.r-universe.dev",
  "Date/Publication": "2026-06-08 18:00:19 UTC",
  "RemoteUrl": "https://github.com/jdenn0514/surveycore",
  "RemoteRef": "HEAD",
  "RemoteSha": "2a93c9c6080179894af684a04712d5db9cd612f3",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-08 20:25:18 UTC",
    "User": "root"
  },
  "Author": "Jacob Dennen [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0003-3006-7364>),\nThomas Lumley [ctb, cph] (Author of variance estimation code vendored\nfrom the 'survey' package)",
  "Maintainer": "Jacob Dennen <jdenn0514@gmail.com>",
  "MD5sum": "20b97ed0730c32f4db6cbd084e823053",
  "_user": "jdenn0514",
  "_type": "src",
  "_file": "surveycore_1.0.0.tar.gz",
  "_fileid": "6e40753aa404a41d1080cf932866fada1fc353a690eb55ca83735470bde24157",
  "_filesize": 6481118,
  "_sha256": "6e40753aa404a41d1080cf932866fada1fc353a690eb55ca83735470bde24157",
  "_created": "2026-06-08T20:25:18.000Z",
  "_published": "2026-06-08T20:36:07.422Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 80189163268,
      "time": 566,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7491750876"
    },
    {
      "job": 80189163208,
      "time": 304,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7491658982"
    },
    {
      "job": 80189163170,
      "time": 227,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7491755727"
    },
    {
      "job": 80189163173,
      "time": 209,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7491738218"
    },
    {
      "job": 80188222770,
      "time": 302,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7491551095"
    },
    {
      "job": 80189163195,
      "time": 135,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7491600436"
    },
    {
      "job": 80189163213,
      "time": 333,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7491669652"
    },
    {
      "job": 80189163191,
      "time": 294,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "7491656249"
    },
    {
      "job": 80189163263,
      "time": 326,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7491666804"
    }
  ],
  "_buildurl": "https://github.com/r-universe/jdenn0514/actions/runs/27164530912",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/jdenn0514/surveycore",
  "_commit": {
    "id": "2a93c9c6080179894af684a04712d5db9cd612f3",
    "author": "Jacob Dennen <80338305+JDenn0514@users.noreply.github.com>",
    "committer": "Jacob Dennen <80338305+JDenn0514@users.noreply.github.com>",
    "message": "chore(ci): skip Codecov GPG validation to fix transient key rotation failure\n\nCo-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>\n",
    "time": 1780941619
  },
  "_maintainer": {
    "name": "Jacob Dennen",
    "email": "jdenn0514@gmail.com",
    "login": "jdenn0514",
    "twitter": "@JDenn0514",
    "description": "Assistant Director of Quantitative Research at non-profit investigating prejudice.",
    "uuid": 80338305,
    "orcid": "0000-0003-3006-7364"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.3.0",
      "role": "Depends"
    },
    {
      "package": "S7",
      "version": ">= 0.1.0",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "version": ">= 1.0.0",
      "role": "Imports"
    },
    {
      "package": "tidyselect",
      "version": ">= 1.2.0",
      "role": "Imports"
    },
    {
      "package": "cli",
      "version": ">= 3.6.0",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "version": ">= 3.1.0",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "version": ">= 1.1.0",
      "role": "Imports"
    },
    {
      "package": "marginaleffects",
      "version": ">= 0.18.0",
      "role": "Imports"
    },
    {
      "package": "pbivnorm",
      "version": ">= 0.6.0",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "graphics",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "withr",
      "version": ">= 2.5.0",
      "role": "Suggests"
    },
    {
      "package": "surveytidy",
      "version": ">= 0.5.0",
      "role": "Suggests"
    },
    {
      "package": "survey",
      "version": ">= 4.0",
      "role": "Suggests"
    },
    {
      "package": "survival",
      "role": "Suggests"
    },
    {
      "package": "srvyr",
      "version": ">= 1.0",
      "role": "Suggests"
    },
    {
      "package": "haven",
      "version": ">= 2.5.0",
      "role": "Suggests"
    },
    {
      "package": "lifecycle",
      "version": ">= 1.0.0",
      "role": "Suggests"
    },
    {
      "package": "broom",
      "version": ">= 1.0.0",
      "role": "Suggests"
    },
    {
      "package": "polycor",
      "version": ">= 0.8.0",
      "role": "Suggests"
    },
    {
      "package": "jtools",
      "version": ">= 2.2.0",
      "role": "Suggests"
    },
    {
      "package": "covr",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    }
  ],
  "_owner": "jdenn0514",
  "_selfowned": true,
  "_usedby": 1,
  "_updates": [
    {
      "week": "2026-08",
      "n": 38
    },
    {
      "week": "2026-09",
      "n": 32
    },
    {
      "week": "2026-10",
      "n": 7
    },
    {
      "week": "2026-11",
      "n": 3
    },
    {
      "week": "2026-12",
      "n": 2
    },
    {
      "week": "2026-13",
      "n": 1
    },
    {
      "week": "2026-17",
      "n": 4
    },
    {
      "week": "2026-18",
      "n": 4
    },
    {
      "week": "2026-19",
      "n": 1
    },
    {
      "week": "2026-21",
      "n": 1
    },
    {
      "week": "2026-24",
      "n": 2
    }
  ],
  "_tags": [
    {
      "name": "v0.0.0-pre",
      "date": "2026-02-19"
    },
    {
      "name": "v0.1.0",
      "date": "2026-02-20"
    },
    {
      "name": "v0.2.0",
      "date": "2026-03-03"
    },
    {
      "name": "v0.3.0",
      "date": "2026-03-03"
    },
    {
      "name": "v0.3.1",
      "date": "2026-03-03"
    },
    {
      "name": "v0.3.2",
      "date": "2026-03-03"
    },
    {
      "name": "v0.3.3",
      "date": "2026-03-04"
    },
    {
      "name": "v0.3.4",
      "date": "2026-03-04"
    },
    {
      "name": "v0.3.5",
      "date": "2026-03-07"
    },
    {
      "name": "v0.4.0",
      "date": "2026-03-09"
    },
    {
      "name": "v0.5.0",
      "date": "2026-03-12"
    },
    {
      "name": "v0.6.0",
      "date": "2026-03-19"
    },
    {
      "name": "v0.6.1",
      "date": "2026-03-19"
    },
    {
      "name": "v0.6.2",
      "date": "2026-03-27"
    },
    {
      "name": "v0.7.0",
      "date": "2026-04-21"
    },
    {
      "name": "v0.7.1",
      "date": "2026-04-22"
    },
    {
      "name": "v0.8.0",
      "date": "2026-04-27"
    },
    {
      "name": "v0.8.1",
      "date": "2026-04-27"
    },
    {
      "name": "v0.8.2",
      "date": "2026-04-28"
    },
    {
      "name": "v0.8.4",
      "date": "2026-05-06"
    },
    {
      "name": "v0.9.0",
      "date": "2026-05-20"
    },
    {
      "name": "v1.0.0",
      "date": "2026-06-08"
    }
  ],
  "_topics": [
    "data",
    "resear",
    "survey-analysis"
  ],
  "_stars": 1,
  "_contributors": [
    {
      "user": "jdenn0514",
      "count": 345,
      "uuid": 80338305
    }
  ],
  "_userbio": {
    "uuid": 80338305,
    "type": "user",
    "name": "Jacob Dennen",
    "description": "Assistant Director of Quantitative Research at non-profit investigating prejudice."
  },
  "_downloads": {
    "count": 296,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/surveycore"
  },
  "_devurl": "https://github.com/jdenn0514/surveycore",
  "_pkgdown": "https://jdenn0514.github.io/surveycore/",
  "_searchresults": 17,
  "_rbuild": "4.6.0",
  "_assets": [
    "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",
    "extra/surveycore.html",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/jdenn0514/surveycore",
  "_realowner": "jdenn0514",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.8.3",
      "date": "2026-05-05"
    },
    {
      "version": "1.0.0",
      "date": "2026-06-08"
    }
  ],
  "_exports": [
    ".get_design_vars_flat",
    "add_survey",
    "as_caldata",
    "as_survey",
    "as_survey_collection",
    "as_survey_nonprob",
    "as_survey_replicate",
    "as_survey_twophase",
    "as_svydesign",
    "as_tbl_svy",
    "classify_question_type",
    "clean",
    "extract_higher_is",
    "extract_metadata",
    "extract_missing_codes",
    "extract_question_preface",
    "extract_reverse_coded",
    "extract_sata",
    "extract_universe",
    "extract_val_labels",
    "extract_var_label",
    "extract_var_note",
    "from_svydesign",
    "from_tbl_svy",
    "get_anova",
    "get_corr",
    "get_covariance",
    "get_diffs",
    "get_effective_n",
    "get_freqs",
    "get_means",
    "get_pairwise",
    "get_quantiles",
    "get_ratios",
    "get_t_test",
    "get_totals",
    "get_variance",
    "infer_question_prefaces",
    "meta",
    "remove_survey",
    "set_collection_id",
    "set_collection_if_missing_var",
    "set_higher_is",
    "set_missing_codes",
    "set_question_preface",
    "set_reverse_coded",
    "set_sata",
    "set_universe",
    "set_val_labels",
    "set_var_label",
    "set_var_note",
    "survey_base",
    "survey_collection",
    "survey_data",
    "survey_glm",
    "survey_glm_fit",
    "survey_metadata",
    "survey_nonprob",
    "survey_replicate",
    "survey_taylor",
    "survey_twophase",
    "survey_weighting_history",
    "SURVEYCORE_DOMAIN_COL",
    "update_design"
  ],
  "_datasets": [
    {
      "name": "acs_pums_wy",
      "title": "ACS PUMS 2022 1-Year: Wyoming Persons",
      "object": "acs_pums_wy",
      "class": [
        "data.frame"
      ],
      "fields": [
        "puma",
        "st",
        "pwgtp",
        "pwgtp1",
        "pwgtp2",
        "pwgtp3",
        "pwgtp4",
        "pwgtp5",
        "pwgtp6",
        "pwgtp7",
        "pwgtp8",
        "pwgtp9",
        "pwgtp10",
        "pwgtp11",
        "pwgtp12",
        "pwgtp13",
        "pwgtp14",
        "pwgtp15",
        "pwgtp16",
        "pwgtp17",
        "pwgtp18",
        "pwgtp19",
        "pwgtp20",
        "pwgtp21",
        "pwgtp22",
        "pwgtp23",
        "pwgtp24",
        "pwgtp25",
        "pwgtp26",
        "pwgtp27",
        "pwgtp28",
        "pwgtp29",
        "pwgtp30",
        "pwgtp31",
        "pwgtp32",
        "pwgtp33",
        "pwgtp34",
        "pwgtp35",
        "pwgtp36",
        "pwgtp37",
        "pwgtp38",
        "pwgtp39",
        "pwgtp40",
        "pwgtp41",
        "pwgtp42",
        "pwgtp43",
        "pwgtp44",
        "pwgtp45",
        "pwgtp46",
        "pwgtp47",
        "pwgtp48",
        "pwgtp49",
        "pwgtp50",
        "pwgtp51",
        "pwgtp52",
        "pwgtp53",
        "pwgtp54",
        "pwgtp55",
        "pwgtp56",
        "pwgtp57",
        "pwgtp58",
        "pwgtp59",
        "pwgtp60",
        "pwgtp61",
        "pwgtp62",
        "pwgtp63",
        "pwgtp64",
        "pwgtp65",
        "pwgtp66",
        "pwgtp67",
        "pwgtp68",
        "pwgtp69",
        "pwgtp70",
        "pwgtp71",
        "pwgtp72",
        "pwgtp73",
        "pwgtp74",
        "pwgtp75",
        "pwgtp76",
        "pwgtp77",
        "pwgtp78",
        "pwgtp79",
        "pwgtp80",
        "agep",
        "sex",
        "rac1p",
        "hisp",
        "schl",
        "esr",
        "pincp",
        "wagp",
        "hicov",
        "dis",
        "povpip",
        "wkhp",
        "adjinc"
      ],
      "rows": 5962,
      "table": true,
      "tojson": true
    },
    {
      "name": "anes_2024",
      "title": "ANES 2024: American National Election Studies Time Series",
      "object": "anes_2024",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "v240001",
        "v240003",
        "v240002c",
        "v240103a",
        "v240103b",
        "v240103c",
        "v240103d",
        "v243002",
        "v243007",
        "v241458x",
        "v241550",
        "v241501x",
        "v241465x",
        "v241566x",
        "v241177",
        "v241222",
        "v241223",
        "v242066",
        "v242067"
      ],
      "rows": 5521,
      "table": true,
      "tojson": true
    },
    {
      "name": "ca_api_2000",
      "title": "California Academic Performance Index 2000: Simple Random Sample",
      "object": "ca_api_2000",
      "class": [
        "data.frame"
      ],
      "fields": [
        "cds",
        "stype",
        "name",
        "sname",
        "snum",
        "dname",
        "dnum",
        "cname",
        "cnum",
        "pcttest",
        "api00",
        "api99",
        "target",
        "growth",
        "sch_wide",
        "comp_imp",
        "both",
        "awards",
        "meals",
        "ell",
        "yr_rnd",
        "mobility",
        "acs_k3",
        "acs_46",
        "acs_core",
        "pct_resp",
        "not_hsg",
        "hsg",
        "some_col",
        "col_grad",
        "grad_sch",
        "avg_ed",
        "full",
        "emer",
        "enroll",
        "api_stu",
        "pw",
        "fpc"
      ],
      "rows": 200,
      "table": true,
      "tojson": true
    },
    {
      "name": "gss_2024",
      "title": "GSS 2024: General Social Survey",
      "object": "gss_2024",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "vpsu",
        "vstrat",
        "wtssps",
        "wtssnrps",
        "ballot",
        "year",
        "id",
        "age",
        "sex",
        "race",
        "hispanic",
        "educ",
        "degree",
        "income16",
        "marital",
        "wrkstat",
        "hrs1",
        "adults",
        "partyid",
        "polviews",
        "happy",
        "health",
        "trust",
        "natfare",
        "abany",
        "attend",
        "relig"
      ],
      "rows": 3309,
      "table": true,
      "tojson": true
    },
    {
      "name": "nhanes_2017",
      "title": "NHANES 2017-2018: Demographics and Blood Pressure",
      "object": "nhanes_2017",
      "class": [
        "data.frame"
      ],
      "fields": [
        "seqn",
        "sdmvpsu",
        "sdmvstra",
        "wtmec2yr",
        "wtint2yr",
        "ridstatr",
        "riagendr",
        "ridageyr",
        "ridreth3",
        "indfmpir",
        "dmdeduc2",
        "bpxsy1",
        "bpxdi1",
        "bpxpls"
      ],
      "rows": 9254,
      "table": true,
      "tojson": true
    },
    {
      "name": "ns_wave1",
      "title": "Nationscape Wave 1: July 18, 2019",
      "object": "ns_wave1",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "response_id",
        "start_date",
        "right_track",
        "economy_better",
        "interest",
        "registration",
        "news_sources_facebook",
        "news_sources_cnn",
        "news_sources_msnbc",
        "news_sources_fox",
        "news_sources_network",
        "news_sources_localtv",
        "news_sources_telemundo",
        "news_sources_npr",
        "news_sources_amtalk",
        "news_sources_new_york_times",
        "news_sources_local_newspaper",
        "news_sources_other",
        "news_sources_other_TEXT",
        "pres_approval",
        "vote_intention",
        "vote_2016",
        "vote_2016_other_text",
        "consider_trump",
        "not_trump",
        "primary_party",
        "group_favorability_whites",
        "group_favorability_blacks",
        "group_favorability_latinos",
        "group_favorability_asians",
        "group_favorability_christians",
        "group_favorability_socialists",
        "group_favorability_muslims",
        "group_favorability_labor_unions",
        "group_favorability_the_police",
        "group_favorability_undocumented",
        "group_favorability_lgbt",
        "group_favorability_republicans",
        "group_favorability_democrats",
        "cand_favorability_trump",
        "cand_favorability_obama",
        "cand_favorability_cortez",
        "cand_favorability_biden",
        "cand_favorability_harris",
        "cand_favorability_buttigieg",
        "cand_favorability_warren",
        "cand_favorability_sanders",
        "cand_favorability_pence",
        "dem_vote_intent",
        "dem_vote_intent_TEXT",
        "rank_dems_1",
        "rank_dems_2",
        "rank_dems_3",
        "replace_trump",
        "house_intent",
        "senate_intent",
        "governor_intent",
        "trump_biden",
        "trump_sanders",
        "trump_harris",
        "trump_warren",
        "trump_buttigieg",
        "trump_booker",
        "trump_castro",
        "trump_gabbard",
        "trump_gillibrand",
        "trump_orourke",
        "pence_biden",
        "pence_buttigieg",
        "pence_harris",
        "pence_sanders",
        "pence_warren",
        "cand_truth_donald_trump",
        "cand_truth_elizabeth_warren",
        "cand_truth_joe_biden",
        "cand_truth_bernie_sanders",
        "cand_truth_pete_buttigieg",
        "cand_truth_kamala_harris",
        "cand_facts_donald_trump",
        "cand_facts_elizabeth_warren",
        "cand_facts_joe_biden",
        "cand_facts_bernie_sanders",
        "cand_facts_pete_buttigieg",
        "cand_facts_kamala_harris",
        "racial_attitudes_tryhard",
        "racial_attitudes_generations",
        "racial_attitudes_marry",
        "racial_attitudes_date",
        "gender_attitudes_maleboss",
        "gender_attitudes_logical",
        "gender_attitudes_opportunity",
        "gender_attitudes_complain",
        "discrimination_blacks",
        "discrimination_whites",
        "discrimination_muslims",
        "discrimination_christians",
        "discrimination_women",
        "discrimination_men",
        "sen_knowledge",
        "sc_knowledge",
        "pid3",
        "pid7_legacy",
        "strength_democrat",
        "strength_republican",
        "lean_independent",
        "ideo5",
        "employment",
        "employment_other_text",
        "foreign_born",
        "language",
        "religion",
        "religion_other_text",
        "is_evangelical",
        "orientation_group",
        "in_union",
        "household_gun_owner",
        "wall",
        "cap_carbon",
        "environment",
        "guns_bg",
        "mctaxes",
        "estate_tax",
        "raise_upper_tax",
        "college",
        "abortion_waiting",
        "abortion_never",
        "abortion_conditions",
        "late_term_abortion",
        "abortion_insurance",
        "guaranteed_jobs",
        "green_new_deal",
        "gun_registry",
        "immigration_separation",
        "immigration_system",
        "immigration_wire",
        "impeach_trump",
        "israel",
        "marijuana",
        "maternityleave",
        "medicare_for_all",
        "military_size",
        "minwage",
        "muslimban",
        "oil_and_gas",
        "reparations",
        "right_to_work",
        "ten_commandments",
        "trade",
        "trans_military",
        "uctaxes2",
        "vouchers",
        "gov_insurance",
        "public_option",
        "health_subsidies",
        "path_to_citizenship",
        "dreamers",
        "deportation",
        "ban_guns",
        "ban_assault_rifles",
        "limit_magazines",
        "age",
        "gender",
        "census_region",
        "hispanic",
        "race_ethnicity",
        "household_income",
        "education",
        "state",
        "congress_district",
        "weight",
        "wave_id"
      ],
      "rows": 6422,
      "table": true,
      "tojson": true
    },
    {
      "name": "pew_jewish_2020",
      "title": "Pew Jewish Americans 2020",
      "object": "pew_jewish_2020",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "extweight",
        "extweight1",
        "extweight2",
        "extweight3",
        "extweight4",
        "extweight5",
        "extweight6",
        "extweight7",
        "extweight8",
        "extweight9",
        "extweight10",
        "extweight11",
        "extweight12",
        "extweight13",
        "extweight14",
        "extweight15",
        "extweight16",
        "extweight17",
        "extweight18",
        "extweight19",
        "extweight20",
        "extweight21",
        "extweight22",
        "extweight23",
        "extweight24",
        "extweight25",
        "extweight26",
        "extweight27",
        "extweight28",
        "extweight29",
        "extweight30",
        "extweight31",
        "extweight32",
        "extweight33",
        "extweight34",
        "extweight35",
        "extweight36",
        "extweight37",
        "extweight38",
        "extweight39",
        "extweight40",
        "extweight41",
        "extweight42",
        "extweight43",
        "extweight44",
        "extweight45",
        "extweight46",
        "extweight47",
        "extweight48",
        "extweight49",
        "extweight50",
        "extweight51",
        "extweight52",
        "extweight53",
        "extweight54",
        "extweight55",
        "extweight56",
        "extweight57",
        "extweight58",
        "extweight59",
        "extweight60",
        "extweight61",
        "extweight62",
        "extweight63",
        "extweight64",
        "extweight65",
        "extweight66",
        "extweight67",
        "extweight68",
        "extweight69",
        "extweight70",
        "extweight71",
        "extweight72",
        "extweight73",
        "extweight74",
        "extweight75",
        "extweight76",
        "extweight77",
        "extweight78",
        "extweight79",
        "extweight80",
        "extweight81",
        "extweight82",
        "extweight83",
        "extweight84",
        "extweight85",
        "extweight86",
        "extweight87",
        "extweight88",
        "extweight89",
        "extweight90",
        "extweight91",
        "extweight92",
        "extweight93",
        "extweight94",
        "extweight95",
        "extweight96",
        "extweight97",
        "extweight98",
        "extweight99",
        "extweight100",
        "qkey",
        "jewishcat",
        "finalmode",
        "region",
        "sexask",
        "age4cat",
        "educ4cat",
        "religmod",
        "hisp",
        "racecmb",
        "racethn",
        "relconsider_a",
        "relconsider_b",
        "relconsider_c",
        "relconsider_d",
        "relraised_a",
        "relraised_b",
        "relraised_c",
        "relraised_d",
        "presapp",
        "track",
        "discrim_a",
        "discrim_b",
        "discrim_c",
        "discrim_d",
        "discrim_e",
        "discrim_f",
        "satisfpersmod",
        "localrating"
      ],
      "rows": 5881,
      "table": true,
      "tojson": true
    },
    {
      "name": "pew_npors_2025",
      "title": "Pew NPORS 2025: National Public Opinion Reference Survey",
      "object": "pew_npors_2025",
      "class": [
        "data.frame"
      ],
      "fields": [
        "respid",
        "mode",
        "language",
        "languageinitial",
        "stratum",
        "interview_start",
        "interview_end",
        "econ1mod",
        "econ1bmod",
        "comtype2",
        "unity",
        "crimesafe",
        "govprotct",
        "moregunimpact",
        "fin_sit",
        "vet1",
        "vol12_cps",
        "eminuse",
        "intmob",
        "intfreq",
        "intfreq_collapsed",
        "home4nw2",
        "bbhome",
        "smuse_fb",
        "smuse_yt",
        "smuse_x",
        "smuse_ig",
        "smuse_sc",
        "smuse_wa",
        "smuse_tt",
        "smuse_rd",
        "smuse_bsk",
        "smuse_th",
        "smuse_ts",
        "radio",
        "device1a",
        "smart2",
        "nhisll",
        "relig",
        "religcat1",
        "born",
        "attendper",
        "attendonline2",
        "relimp",
        "pray",
        "educcat",
        "registration",
        "party",
        "partyln",
        "partysum",
        "hisp",
        "racecmb",
        "racethn",
        "agegrp",
        "agecat",
        "birthplace",
        "gender",
        "adults",
        "voted2024",
        "votegen_post",
        "inc_sdt1",
        "cregion",
        "metro",
        "basewt",
        "weight"
      ],
      "rows": 5022,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "dot-get_design_vars_flat",
      "title": "Get design variable column names",
      "topics": [
        ".get_design_vars_flat"
      ]
    },
    {
      "page": "acs_pums_wy",
      "title": "ACS PUMS 2022 1-Year: Wyoming Persons",
      "topics": [
        "acs_pums_wy"
      ]
    },
    {
      "page": "add_survey",
      "title": "Add Surveys to a 'survey_collection'",
      "concept": [
        "collections"
      ],
      "topics": [
        "add_survey"
      ]
    },
    {
      "page": "anes_2024",
      "title": "ANES 2024: American National Election Studies Time Series",
      "topics": [
        "anes_2024"
      ]
    },
    {
      "page": "anova.survey_glm_fit",
      "title": "ANOVA Method for Survey GLM Fits",
      "topics": [
        "anova.survey_glm_fit"
      ]
    },
    {
      "page": "as_caldata",
      "title": "Build a Calibration Data Element",
      "concept": [
        "constructors"
      ],
      "topics": [
        "as_caldata"
      ]
    },
    {
      "page": "as_survey",
      "title": "Create a Taylor Series Linearization Survey Design",
      "concept": [
        "constructors"
      ],
      "topics": [
        "as_survey"
      ]
    },
    {
      "page": "as_survey_collection",
      "title": "Create a Collection of Survey Designs",
      "concept": [
        "collections"
      ],
      "topics": [
        "as_survey_collection"
      ]
    },
    {
      "page": "as_survey_nonprob",
      "title": "Create a Non-probability Survey Design",
      "concept": [
        "constructors"
      ],
      "topics": [
        "as_survey_nonprob"
      ]
    },
    {
      "page": "as_survey_replicate",
      "title": "Create a Replicate Weights Survey Design",
      "concept": [
        "constructors"
      ],
      "topics": [
        "as_survey_replicate"
      ]
    },
    {
      "page": "as_survey_twophase",
      "title": "Create a Two-Phase Survey Design",
      "concept": [
        "constructors"
      ],
      "topics": [
        "as_survey_twophase"
      ]
    },
    {
      "page": "as_svydesign",
      "title": "Convert a surveycore Design Object to a survey Package Design",
      "concept": [
        "conversion"
      ],
      "topics": [
        "as_svydesign"
      ]
    },
    {
      "page": "as_tbl_svy",
      "title": "Convert a surveycore Design Object to an srvyr tbl_svy",
      "concept": [
        "conversion"
      ],
      "topics": [
        "as_tbl_svy"
      ]
    },
    {
      "page": "ca_api_2000",
      "title": "California Academic Performance Index 2000: Simple Random Sample",
      "topics": [
        "ca_api_2000"
      ]
    },
    {
      "page": "classify_question_type",
      "title": "Classify Variable Question Types",
      "concept": [
        "metadata"
      ],
      "topics": [
        "classify_question_type"
      ]
    },
    {
      "page": "clean",
      "title": "Tidy a Survey GLM Fit",
      "concept": [
        "analysis"
      ],
      "topics": [
        "clean"
      ]
    },
    {
      "page": "extract_higher_is",
      "title": "Extract Direction-of-Improvement Attributes",
      "concept": [
        "metadata"
      ],
      "topics": [
        "extract_higher_is"
      ]
    },
    {
      "page": "extract_metadata",
      "title": "Extract All Metadata for Variables",
      "concept": [
        "metadata"
      ],
      "topics": [
        "extract_metadata"
      ]
    },
    {
      "page": "extract_missing_codes",
      "title": "Extract Missing Value Codes",
      "concept": [
        "metadata"
      ],
      "topics": [
        "extract_missing_codes"
      ]
    },
    {
      "page": "extract_question_preface",
      "title": "Extract Question Prefaces",
      "concept": [
        "metadata"
      ],
      "topics": [
        "extract_question_preface"
      ]
    },
    {
      "page": "extract_reverse_coded",
      "title": "Extract Reverse-Coded Flags",
      "concept": [
        "metadata"
      ],
      "topics": [
        "extract_reverse_coded"
      ]
    },
    {
      "page": "extract_sata",
      "title": "Extract SATA (Select-All-That-Apply) Flags",
      "concept": [
        "metadata"
      ],
      "topics": [
        "extract_sata"
      ]
    },
    {
      "page": "extract_universe",
      "title": "Extract Universe Descriptions",
      "concept": [
        "metadata"
      ],
      "topics": [
        "extract_universe"
      ]
    },
    {
      "page": "extract_val_labels",
      "title": "Extract Value Labels",
      "concept": [
        "metadata"
      ],
      "topics": [
        "extract_val_labels"
      ]
    },
    {
      "page": "extract_var_label",
      "title": "Extract Variable Labels",
      "concept": [
        "metadata"
      ],
      "topics": [
        "extract_var_label"
      ]
    },
    {
      "page": "extract_var_note",
      "title": "Extract Analyst Notes",
      "concept": [
        "metadata"
      ],
      "topics": [
        "extract_var_note"
      ]
    },
    {
      "page": "from_svydesign",
      "title": "Convert a survey Package Design to a surveycore Design Object",
      "concept": [
        "conversion"
      ],
      "topics": [
        "from_svydesign"
      ]
    },
    {
      "page": "from_tbl_svy",
      "title": "Convert an srvyr tbl_svy to a surveycore Design Object",
      "concept": [
        "conversion"
      ],
      "topics": [
        "from_tbl_svy"
      ]
    },
    {
      "page": "get_anova",
      "title": "Design-Based Analysis of Variance and Wald Tests for Survey GLM Fits",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_anova"
      ]
    },
    {
      "page": "get_corr",
      "title": "Survey-Weighted Correlation (Pearson, Polychoric, Polyserial)",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_corr"
      ]
    },
    {
      "page": "get_covariance",
      "title": "Design-Based Population Covariance for a Survey Design",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_covariance"
      ]
    },
    {
      "page": "get_diffs",
      "title": "Treatment Effect Estimation for Survey Designs",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_diffs"
      ]
    },
    {
      "page": "get_effective_n",
      "title": "Effective Sample Size for a Survey Design",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_effective_n"
      ]
    },
    {
      "page": "get_freqs",
      "title": "Weighted Frequency Tables for Categorical Survey Variables",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_freqs"
      ]
    },
    {
      "page": "get_means",
      "title": "Weighted Mean for a Survey Design",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_means"
      ]
    },
    {
      "page": "get_pairwise",
      "title": "All-Pairs Pairwise T-Tests for Survey Designs",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_pairwise"
      ]
    },
    {
      "page": "get_quantiles",
      "title": "Survey-Weighted Quantiles",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_quantiles"
      ]
    },
    {
      "page": "get_ratios",
      "title": "Survey-Weighted Ratio Estimation",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_ratios"
      ]
    },
    {
      "page": "get_t_test",
      "title": "Design-Based Two-Sample T-Test for Survey Designs",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_t_test"
      ]
    },
    {
      "page": "get_totals",
      "title": "Weighted Total for a Survey Design",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_totals"
      ]
    },
    {
      "page": "get_variance",
      "title": "Design-Based Population Variance for a Survey Design",
      "concept": [
        "analysis"
      ],
      "topics": [
        "get_variance"
      ]
    },
    {
      "page": "gss_2024",
      "title": "GSS 2024: General Social Survey",
      "topics": [
        "gss_2024"
      ]
    },
    {
      "page": "infer_question_prefaces",
      "title": "Infer Question Prefaces from Variable Labels",
      "concept": [
        "metadata"
      ],
      "topics": [
        "infer_question_prefaces"
      ]
    },
    {
      "page": "meta",
      "title": "Extract Metadata from a Survey Result",
      "concept": [
        "analysis"
      ],
      "topics": [
        "meta",
        "meta.survey_result"
      ]
    },
    {
      "page": "nhanes_2017",
      "title": "NHANES 2017-2018: Demographics and Blood Pressure",
      "topics": [
        "nhanes_2017"
      ]
    },
    {
      "page": "ns_wave1",
      "title": "Nationscape Wave 1: July 18, 2019",
      "topics": [
        "ns_wave1"
      ]
    },
    {
      "page": "pew_jewish_2020",
      "title": "Pew Jewish Americans 2020",
      "topics": [
        "pew_jewish_2020"
      ]
    },
    {
      "page": "pew_npors_2025",
      "title": "Pew NPORS 2025: National Public Opinion Reference Survey",
      "topics": [
        "pew_npors_2025"
      ]
    },
    {
      "page": "print.survey_anova",
      "title": "Print Method for survey_anova Objects",
      "topics": [
        "print.survey_anova"
      ]
    },
    {
      "page": "print.survey_diffs",
      "title": "Print a Survey Diffs Result",
      "topics": [
        "print.survey_diffs"
      ]
    },
    {
      "page": "print.survey_pairwise",
      "title": "Print method for survey_pairwise objects.",
      "topics": [
        "print.survey_pairwise"
      ]
    },
    {
      "page": "print.survey_result",
      "title": "Print a Survey Result Object",
      "topics": [
        "print.survey_result"
      ]
    },
    {
      "page": "print.survey_t_test",
      "title": "Print method for survey_t_test objects.",
      "topics": [
        "print.survey_t_test"
      ]
    },
    {
      "page": "remove_survey",
      "title": "Remove Surveys from a 'survey_collection'",
      "concept": [
        "collections"
      ],
      "topics": [
        "remove_survey"
      ]
    },
    {
      "page": "set_collection_id",
      "title": "Set the Identifier Column on a 'survey_collection'",
      "concept": [
        "collections"
      ],
      "topics": [
        "set_collection_id"
      ]
    },
    {
      "page": "set_collection_if_missing_var",
      "title": "Set the Missing-Variable Behaviour on a 'survey_collection'",
      "concept": [
        "collections"
      ],
      "topics": [
        "set_collection_if_missing_var"
      ]
    },
    {
      "page": "set_higher_is",
      "title": "Set Direction-of-Improvement Attribute",
      "concept": [
        "metadata"
      ],
      "topics": [
        "set_higher_is"
      ]
    },
    {
      "page": "set_missing_codes",
      "title": "Set Missing Code(s)",
      "concept": [
        "metadata"
      ],
      "topics": [
        "set_missing_codes"
      ]
    },
    {
      "page": "set_question_preface",
      "title": "Set Question Preface(s)",
      "concept": [
        "metadata"
      ],
      "topics": [
        "set_question_preface"
      ]
    },
    {
      "page": "set_reverse_coded",
      "title": "Set Reverse-Coded Flag",
      "concept": [
        "metadata"
      ],
      "topics": [
        "set_reverse_coded"
      ]
    },
    {
      "page": "set_sata",
      "title": "Set SATA (Select-All-That-Apply) Flag",
      "concept": [
        "metadata"
      ],
      "topics": [
        "set_sata"
      ]
    },
    {
      "page": "set_universe",
      "title": "Set Universe Description(s)",
      "concept": [
        "metadata"
      ],
      "topics": [
        "set_universe"
      ]
    },
    {
      "page": "set_val_labels",
      "title": "Set Value Labels",
      "concept": [
        "metadata"
      ],
      "topics": [
        "set_val_labels"
      ]
    },
    {
      "page": "set_var_label",
      "title": "Set Variable Label(s)",
      "concept": [
        "metadata"
      ],
      "topics": [
        "set_var_label"
      ]
    },
    {
      "page": "set_var_note",
      "title": "Set Analyst Note(s)",
      "concept": [
        "metadata"
      ],
      "topics": [
        "set_var_note"
      ]
    },
    {
      "page": "survey_collection",
      "title": "Multi-Survey Container",
      "concept": [
        "collections"
      ],
      "topics": [
        "survey_collection"
      ]
    },
    {
      "page": "survey_data",
      "title": "Access the Data Component of a Survey Design Object",
      "concept": [
        "accessors"
      ],
      "topics": [
        "survey_data"
      ]
    },
    {
      "page": "survey_glm",
      "title": "Fit a Survey-Weighted Generalised Linear Model",
      "concept": [
        "constructors"
      ],
      "topics": [
        "survey_glm"
      ]
    },
    {
      "page": "survey_glm_fit",
      "title": "Survey-Weighted GLM Fit Object",
      "concept": [
        "constructors"
      ],
      "topics": [
        "survey_glm_fit"
      ]
    },
    {
      "page": "survey_metadata",
      "title": "Survey Metadata Container",
      "concept": [
        "metadata"
      ],
      "topics": [
        "survey_metadata"
      ]
    },
    {
      "page": "survey_nonprob",
      "title": "Non-probability Samples",
      "concept": [
        "constructors"
      ],
      "topics": [
        "survey_nonprob"
      ]
    },
    {
      "page": "survey_replicate",
      "title": "Replicate Weights Survey Design",
      "concept": [
        "constructors"
      ],
      "topics": [
        "survey_replicate"
      ]
    },
    {
      "page": "survey_taylor",
      "title": "Taylor Series Linearization Survey Design",
      "concept": [
        "constructors"
      ],
      "topics": [
        "survey_taylor"
      ]
    },
    {
      "page": "survey_twophase",
      "title": "Two-Phase Survey Design",
      "concept": [
        "constructors"
      ],
      "topics": [
        "survey_twophase"
      ]
    },
    {
      "page": "survey_weighting_history",
      "title": "Extract the Weighting History from a Survey Object",
      "concept": [
        "metadata"
      ],
      "topics": [
        "survey_weighting_history"
      ]
    },
    {
      "page": "SURVEYCORE_DOMAIN_COL",
      "title": "Internal Domain Column Name Constant",
      "topics": [
        "SURVEYCORE_DOMAIN_COL"
      ]
    },
    {
      "page": "update_design",
      "title": "Update Design Variables on an Existing Survey Object",
      "topics": [
        "update_design"
      ]
    }
  ],
  "_pkglogo": "https://github.com/jdenn0514/surveycore/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/jdenn0514/surveycore/raw/HEAD/README.md",
  "_rundeps": [
    "backports",
    "checkmate",
    "cli",
    "data.table",
    "dplyr",
    "Formula",
    "generics",
    "glue",
    "insight",
    "lifecycle",
    "magrittr",
    "marginaleffects",
    "pbivnorm",
    "pillar",
    "pkgconfig",
    "R6",
    "rlang",
    "S7",
    "tibble",
    "tidyselect",
    "utf8",
    "vctrs",
    "withr"
  ],
  "_vignettes": [
    {
      "source": "creating-survey-objects.Rmd",
      "filename": "creating-survey-objects.html",
      "title": "Creating Survey Objects in surveycore",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Introduction",
        "1. Decision Guide",
        "Common surveys at a glance",
        "2. as_survey() — Taylor Series Designs",
        "2.1 Core arguments",
        "2.2 The nest argument",
        "2.3 The fpc argument",
        "2.4 Multi-level clustering",
        "2.5 Worked example: NHANES 2017–2018",
        "2.6 Worked example: ANES 2024",
        "2.7 Worked example: GSS 2024",
        "2.8 Worked example: Pew NPORS 2025",
        "3. as_survey_replicate() — Replicate Weight Designs",
        "3.1 The type argument",
        "3.2 Worked example: ACS PUMS 2022 — Wyoming",
        "3.3 Worked example: Pew Jewish Americans 2020",
        "3.4 The scale and rscales arguments",
        "4. as_survey_twophase() — Two-Phase Designs",
        "4.1 What two-phase sampling is",
        "4.2 Arguments",
        "4.3 Worked example: National Wilms Tumor Study",
        "5. Simple Random Sample with as_survey()",
        "5.1 The fpc argument matters more here",
        "5.2 Worked example: School district survey",
        "6. as_survey_nonprob() — Non-Probability Samples",
        "6.1 The fundamental distinction",
        "6.2 Variance estimation: two modes",
        "Choosing type",
        "6.3 What you can and cannot claim",
        "6.4 Worked example: Democracy Fund + UCLA Nationscape (SRS approximation)",
        "6.5 Worked example: Bootstrap replicate weights",
        "6.6 Worked example: University snowball sample",
        "7. When no constructor applies: convenience and purposive samples",
        "7.1 Example: program evaluation classrooms",
        "7.2 General decision rule",
        "8. Reference: Common Codebook Variables",
        "References"
      ],
      "created": "2026-02-25 17:47:58",
      "modified": "2026-06-08 17:40:52",
      "commits": 7
    },
    {
      "source": "getting-started.Rmd",
      "filename": "getting-started.html",
      "title": "Getting Started with surveycore",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Creating the survey object",
        "as_survey()",
        "as_survey_replicate()",
        "as_survey_nonprob()",
        "as_survey_twophase()",
        "Analysis functions",
        "Frequency tables — get_freqs()",
        "Analyzing multiple variables at once",
        "Weighted means — get_means()",
        "Population totals — get_totals()",
        "Weighted correlations — get_corr()",
        "Ratio estimation — get_ratios()",
        "Weighted quantiles — get_quantiles()",
        "Treatment effects — get_diffs()",
        "Two-sample t-test — get_t_test()",
        "All-pairs comparisons — get_pairwise()",
        "Population variance — get_variance()",
        "Subgroup analysis — the group argument",
        "Controlling uncertainty output",
        "Regression",
        "Summary"
      ],
      "created": "2026-02-26 10:20:54",
      "modified": "2026-06-08 17:40:52",
      "commits": 8
    },
    {
      "source": "surveycore-vs-survey.Rmd",
      "filename": "surveycore-vs-survey.html",
      "title": "surveycore vs. survey and srvyr",
      "engine": "knitr::rmarkdown",
      "headings": [
        "1. Creating Survey Design Objects",
        "1.1 Simple Random Sample",
        "1.2 Stratified Design",
        "1.3 Cluster Design",
        "1.4 Replicate Weights",
        "1.5 Calibrated / Non-Probability Samples",
        "1.6 Two-Phase Designs",
        "1.7 Constructor Summary",
        "2. Summary Statistics",
        "2.1 Weighted Means (Grouped)",
        "2.2 Proportions / Frequency Tables",
        "2.3 Population Totals",
        "2.4 Quantiles",
        "2.5 Ratios",
        "2.6 Correlations",
        "3. Controlling Uncertainty Output",
        "4. Features With No survey / srvyr Equivalent",
        "4.1 Automatic Value Labels",
        "4.2 Multiple Variables in One Call",
        "4.3 Minimum Cell Size Warnings",
        "4.4 Weighted Sample Size",
        "4.5 Metadata-Rich Results (.meta)",
        "5. Notable Differences",
        "6. Function Reference Table",
        "7. Learning More"
      ],
      "created": "2026-03-09 20:04:43",
      "modified": "2026-04-27 15:15:26",
      "commits": 5
    }
  ],
  "_score": 5.925054120311842,
  "_indexed": true,
  "_nocasepkg": "surveycore",
  "_universes": [
    "jdenn0514"
  ],
  "_previous": "0.9.0",
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-06-08T20:32:32.000Z",
      "distro": "noble",
      "commit": "2a93c9c6080179894af684a04712d5db9cd612f3",
      "fileid": "c895d48140fe8be552692aea2e17b514ad3d625c4547ee3ae6d5cb5079bbecc7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jdenn0514/actions/runs/27164530912"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.0.0",
      "date": "2026-06-08T20:27:59.000Z",
      "distro": "noble",
      "commit": "2a93c9c6080179894af684a04712d5db9cd612f3",
      "fileid": "eb4b03e07e388a7c07582c7973d72ced8bfaf58c39ed10cf004ead20dd50b84b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jdenn0514/actions/runs/27164530912"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.0.0",
      "date": "2026-06-08T20:33:16.000Z",
      "commit": "2a93c9c6080179894af684a04712d5db9cd612f3",
      "fileid": "21552b46e51841bc4d5dbe97995671a43f5516179fb0b5645df88933253fc439",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jdenn0514/actions/runs/27164530912"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.0.0",
      "date": "2026-06-08T20:32:47.000Z",
      "commit": "2a93c9c6080179894af684a04712d5db9cd612f3",
      "fileid": "f12f8124aefbeac8bb82c972dec1e50e2fb0b3bbae9e1a17ba36208ca1a96e7f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jdenn0514/actions/runs/27164530912"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.0.0",
      "date": "2026-06-08T20:28:01.000Z",
      "commit": "2a93c9c6080179894af684a04712d5db9cd612f3",
      "fileid": "0491dc0bb57986da425c93576e253a370a2f899b9331f9ad7fae8f21b6589a6e",
      "status": "success",
      "buildurl": "https://github.com/r-universe/jdenn0514/actions/runs/27164530912"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-06-08T20:27:18.000Z",
      "commit": "2a93c9c6080179894af684a04712d5db9cd612f3",
      "fileid": "a5cede1a279f71ccd4ee48291718697cd1706b4be87e0e555205a0cafdc12b0c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jdenn0514/actions/runs/27164530912"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-06-08T20:27:09.000Z",
      "commit": "2a93c9c6080179894af684a04712d5db9cd612f3",
      "fileid": "e7568950e9c98cd75a91ebb66f5f5994fa3ee425bdff11f191637c3be4412143",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jdenn0514/actions/runs/27164530912"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.0.0",
      "date": "2026-06-08T20:27:01.000Z",
      "commit": "2a93c9c6080179894af684a04712d5db9cd612f3",
      "fileid": "99df74986f60d3929e7c403eb50ce3490af9328acee04227f14f753c227b61f7",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/jdenn0514/actions/runs/27164530912"
    }
  ]
}