{
  "_id": "6ace0dc3a14063b82c3af04e",
  "Package": "dtlg",
  "Title": "A Performance-Focused Package for Clinical Trial Tables",
  "Version": "0.1.2",
  "Authors@R": "c(\nperson(\ngiven = \"Max\", family = \"Ebenezer-Brown\",\nemail = \"max.ebenezer-brown@acuityanalytics.com\",\nrole = \"aut\"\n),\nperson(\ngiven = \"Max\", family = \"Norman\",\nrole = \"aut\"\n),\nperson(\ngiven = \"Xinye\", family = \"Li\",\nemail = \"xinye.li@acuityanalytics.com\",\nrole = \"aut\"\n),\nperson(\ngiven = \"Anja\", family = \"Peebles-Brown\",\nemail = \"anna.peebles-brown@acuityanalytics.com\",\nrole = \"aut\"\n),\nperson(\ngiven = \"Ashley\", family = \"Baldry\",\nemail = \"ashley.baldry@acuityanalytics.com\",\nrole = \"aut\"\n),\nperson(\ngiven = \"Ramiro\", family = \"Magno\",\nemail = \"ramiro.morgado@acuityanalytics.com\",\nrole = c(\"aut\", \"cre\")\n),\nperson(\n\"Acuity Analytics\",\nrole = c(\"cph\", \"fnd\"),\nemail = NULL,\ncomment = \"https://www.acuityanalytics.com/\"\n)\n)",
  "Description": "Create high-performance clinical reporting tables (TLGs)\nfrom ADaM-like inputs. The package provides a consistent,\nprogrammatic API to generate common tables such as\ndemographics, adverse event incidence, and laboratory\nsummaries, using 'data.table' for fast aggregation over large\npopulations. Functions support flexible target-variable\nselection, stratification by treatment, and customizable\nsummary statistics, and return tidy, machine-readable results\nready to render with downstream table/formatting packages in\nanalysis pipelines.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "Config/testthat/edition": "3",
  "Config/Needs/website": "rmarkdown, ascentsoftware/acuitydown",
  "LazyData": "true",
  "URL": "https://AscentSoftware.github.io/dtlg/",
  "BugReports": "https://github.com/AscentSoftware/dtlg/issues",
  "Config/roxygen2/version": "8.0.0",
  "Repository": "https://ascentsoftware.r-universe.dev",
  "Date/Publication": "2026-08-14 15:33:56 UTC",
  "RemoteUrl": "https://github.com/AscentSoftware/dtlg",
  "RemoteRef": "HEAD",
  "RemoteSha": "2fee32308ebdce9e94b8fc647008b29acf3ae9b4",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-13 10:49:46 UTC",
    "User": "root"
  },
  "Author": "Max Ebenezer-Brown [aut],\nMax Norman [aut],\nXinye Li [aut],\nAnja Peebles-Brown [aut],\nAshley Baldry [aut],\nRamiro Magno [aut, cre],\nAcuity Analytics [cph, fnd] (https://www.acuityanalytics.com/)",
  "Maintainer": "Ramiro Magno <ramiro.morgado@acuityanalytics.com>",
  "_user": "ascentsoftware",
  "_type": "src",
  "_file": "dtlg_0.1.2.tar.gz",
  "_fileid": "https://r2.ropensci.org/572473feff13dc75c2b08fac636205d2001837a087b422112e2fc0ee13e36807",
  "_filesize": 871507,
  "_sha256": "572473feff13dc75c2b08fac636205d2001837a087b422112e2fc0ee13e36807",
  "_expires": "2027-01-21T10:53:52.000Z",
  "_created": "2026-10-13T10:49:46.000Z",
  "_published": "2026-10-13T10:53:54.860Z",
  "_buildurl": "https://github.com/r-universe/ascentsoftware/actions/runs/38385505146",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_jobs": [
    {
      "job": 115258031274,
      "time": 168,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11807085418"
    },
    {
      "job": 115258031019,
      "time": 195,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11806815495"
    },
    {
      "job": 115258031252,
      "time": 106,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "11806456733"
    },
    {
      "job": 115258031119,
      "time": 114,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11806531508"
    },
    {
      "job": 115256328970,
      "time": 271,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11805437597"
    },
    {
      "job": 115258031040,
      "time": 115,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "11806616410"
    },
    {
      "job": 115258031262,
      "time": 117,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11806341522"
    },
    {
      "job": 115258031118,
      "time": 105,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "11806915215"
    },
    {
      "job": 115258031058,
      "time": 108,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11806945241"
    }
  ],
  "_upstream": "https://github.com/AscentSoftware/dtlg",
  "_commit": {
    "id": "2fee32308ebdce9e94b8fc647008b29acf3ae9b4",
    "author": "Ramiro Magno <ramiro.morgado@acuityanalytics.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Merge pull request #38 from AscentSoftware/feat/ropesci\n\nPrepare dtlg for rOpenSci review and release 0.1.2",
    "time": 1786721636
  },
  "_maintainer": {
    "name": "Ramiro Magno",
    "email": "ramiro.morgado@acuityanalytics.com",
    "login": "ramiromagno",
    "description": "Lead Data Scientist",
    "uuid": 19862384
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "data.table",
      "version": ">= 1.18.0",
      "role": "Imports"
    },
    {
      "package": "bench",
      "role": "Suggests"
    },
    {
      "package": "dplyr",
      "role": "Suggests"
    },
    {
      "package": "kableExtra",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "random.cdisc.data",
      "role": "Suggests"
    },
    {
      "package": "rtables",
      "role": "Suggests"
    },
    {
      "package": "tern",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "tidyr",
      "role": "Suggests"
    },
    {
      "package": "withr",
      "role": "Suggests"
    }
  ],
  "_owner": "ascentsoftware",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-02",
      "n": 3
    },
    {
      "week": "2026-03",
      "n": 1
    },
    {
      "week": "2026-18",
      "n": 7
    },
    {
      "week": "2026-23",
      "n": 4
    },
    {
      "week": "2026-33",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "v0.1.1",
      "date": "2026-06-01"
    }
  ],
  "_stars": 1,
  "_contributors": [
    {
      "user": "ramiromagno",
      "count": 121,
      "uuid": 19862384
    },
    {
      "user": "ashbaldry",
      "count": 38,
      "uuid": 8420419
    },
    {
      "user": "max-ebenezer-brown",
      "count": 35,
      "uuid": 168412201
    },
    {
      "user": "maxjnorman",
      "count": 19,
      "uuid": 23583207
    },
    {
      "user": "xinye1",
      "count": 6,
      "uuid": 5769630
    },
    {
      "user": "anjapeeb",
      "count": 4,
      "uuid": 42910065
    }
  ],
  "_userbio": {
    "uuid": 6576864,
    "type": "organization",
    "name": "Ascent Digital Services - UK",
    "followers": 40,
    "description": "Empowering business through technology"
  },
  "_downloads": {
    "count": 427,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/dtlg"
  },
  "_devurl": "https://github.com/ascentsoftware/dtlg",
  "_pkgdown": "https://AscentSoftware.github.io/dtlg/",
  "_searchresults": 8,
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/dtlg.html",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "LICENSE"
  ],
  "_homeurl": "https://github.com/ascentsoftware/dtlg",
  "_realowner": "ascentsoftware",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.0.2",
      "date": "2025-09-23"
    },
    {
      "version": "0.0.3",
      "date": "2026-01-12"
    },
    {
      "version": "0.1.0",
      "date": "2026-04-29"
    }
  ],
  "_exports": [
    "aesi_heading_msg",
    "AET01_table",
    "AET02_table",
    "as_dtlg_table",
    "calc_counts",
    "calc_desc",
    "calc_stats",
    "cross_tab_to_obsv_tab",
    "dt_copy_semantics",
    "event_count",
    "event_count_by",
    "format_n_pct",
    "indent",
    "label",
    "maybe_copy_dt",
    "merge_table_lists",
    "multi_event_true",
    "nbsp",
    "print_dtlg",
    "round_pct",
    "round_sum",
    "set_dt_copy_semantics",
    "summary_table",
    "summary_table_by",
    "summary_table_by_targets",
    "tern_AET01_table",
    "tern_AET02_table",
    "tern_summary_table",
    "total_events",
    "with_label"
  ],
  "_datasets": [
    {
      "name": "adae",
      "title": "Adverse Event Analysis Dataset example dataset",
      "object": "adae",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "STUDYID",
        "USUBJID",
        "SUBJID",
        "SITEID",
        "AGE",
        "AGEU",
        "SEX",
        "RACE",
        "ETHNIC",
        "COUNTRY",
        "DTHFL",
        "INVID",
        "INVNAM",
        "ARM",
        "ARMCD",
        "ACTARM",
        "ACTARMCD",
        "TRT01P",
        "TRT01A",
        "TRT02P",
        "TRT02A",
        "REGION1",
        "STRATA1",
        "STRATA2",
        "BMRKR1",
        "BMRKR2",
        "ITTFL",
        "SAFFL",
        "BMEASIFL",
        "BEP01FL",
        "AEWITHFL",
        "RANDDT",
        "TRTSDTM",
        "TRTEDTM",
        "TRT01SDTM",
        "TRT01EDTM",
        "TRT02SDTM",
        "TRT02EDTM",
        "AP01SDTM",
        "AP01EDTM",
        "AP02SDTM",
        "AP02EDTM",
        "EOSSTT",
        "EOTSTT",
        "EOSDT",
        "EOSDY",
        "DCSREAS",
        "DTHDT",
        "DTHCAUS",
        "DTHCAT",
        "LDDTHELD",
        "LDDTHGR1",
        "LSTALVDT",
        "DTHADY",
        "ADTHAUT",
        "ASEQ",
        "AESEQ",
        "AETERM",
        "AELLT",
        "AEDECOD",
        "AEHLT",
        "AEHLGT",
        "AEBODSYS",
        "AESOC",
        "AESEV",
        "AESER",
        "AEACN",
        "AEREL",
        "AEOUT",
        "AESDTH",
        "AESCONG",
        "AESDISAB",
        "AESHOSP",
        "AESLIFE",
        "AESMIE",
        "TRTEMFL",
        "AECONTRT",
        "ASTDTM",
        "AENDTM",
        "ASTDY",
        "AENDY",
        "LDOSEDTM",
        "LDRELTM",
        "AETOXGR",
        "SMQ01NAM",
        "SMQ02NAM",
        "SMQ01SC",
        "SMQ02SC",
        "CQ01NAM",
        "ANL01FL",
        "AERELNST",
        "AEACNOTH"
      ],
      "rows": 1934,
      "table": true,
      "tojson": true
    },
    {
      "name": "adlb",
      "title": "ADaM Basic Data Structure (BDS) example dataset",
      "object": "adlb",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "STUDYID",
        "USUBJID",
        "SUBJID",
        "SITEID",
        "AGE",
        "AGEU",
        "SEX",
        "RACE",
        "ETHNIC",
        "COUNTRY",
        "DTHFL",
        "INVID",
        "INVNAM",
        "ARM",
        "ARMCD",
        "ACTARM",
        "ACTARMCD",
        "TRT01P",
        "TRT01A",
        "TRT02P",
        "TRT02A",
        "REGION1",
        "STRATA1",
        "STRATA2",
        "BMRKR1",
        "BMRKR2",
        "ITTFL",
        "SAFFL",
        "BMEASIFL",
        "BEP01FL",
        "AEWITHFL",
        "RANDDT",
        "TRTSDTM",
        "TRTEDTM",
        "TRT01SDTM",
        "TRT01EDTM",
        "TRT02SDTM",
        "TRT02EDTM",
        "AP01SDTM",
        "AP01EDTM",
        "AP02SDTM",
        "AP02EDTM",
        "EOSSTT",
        "EOTSTT",
        "EOSDT",
        "EOSDY",
        "DCSREAS",
        "DTHDT",
        "DTHCAUS",
        "DTHCAT",
        "LDDTHELD",
        "LDDTHGR1",
        "LSTALVDT",
        "DTHADY",
        "ADTHAUT",
        "ASEQ",
        "LBSEQ",
        "LBTESTCD",
        "LBTEST",
        "LBCAT",
        "LBSTRESC",
        "ASPID",
        "PARAM",
        "PARAMCD",
        "AVAL",
        "AVALU",
        "BASE2",
        "BASE",
        "BASETYPE",
        "ABLFL2",
        "ABLFL",
        "CHG2",
        "PCHG2",
        "CHG",
        "PCHG",
        "DTYPE",
        "ANRIND",
        "BNRIND",
        "SHIFT1",
        "ATOXGR",
        "BTOXGR",
        "ADTM",
        "ADY",
        "ATPTN",
        "AVISIT",
        "AVISITN",
        "LOQFL",
        "ONTRTFL",
        "WORS01FL",
        "WGRHIFL",
        "WGRLOFL",
        "WGRHIVFL",
        "WGRLOVFL",
        "ANL01FL",
        "ANRLO",
        "ANRHI",
        "BTOXGRL",
        "BTOXGRH",
        "ATOXGRL",
        "ATOXGRH",
        "ATOXDSCL",
        "ATOXDSCH"
      ],
      "rows": 8400,
      "table": true,
      "tojson": true
    },
    {
      "name": "adsl",
      "title": "Subject-Level Analysis Dataset (ADSL) example dataset",
      "object": "adsl",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "STUDYID",
        "USUBJID",
        "SUBJID",
        "SITEID",
        "AGE",
        "AGEU",
        "SEX",
        "RACE",
        "ETHNIC",
        "COUNTRY",
        "DTHFL",
        "INVID",
        "INVNAM",
        "ARM",
        "ARMCD",
        "ACTARM",
        "ACTARMCD",
        "TRT01P",
        "TRT01A",
        "TRT02P",
        "TRT02A",
        "REGION1",
        "STRATA1",
        "STRATA2",
        "BMRKR1",
        "BMRKR2",
        "ITTFL",
        "SAFFL",
        "BMEASIFL",
        "BEP01FL",
        "AEWITHFL",
        "RANDDT",
        "TRTSDTM",
        "TRTEDTM",
        "TRT01SDTM",
        "TRT01EDTM",
        "TRT02SDTM",
        "TRT02EDTM",
        "AP01SDTM",
        "AP01EDTM",
        "AP02SDTM",
        "AP02EDTM",
        "EOSSTT",
        "EOTSTT",
        "EOSDT",
        "EOSDY",
        "DCSREAS",
        "DTHDT",
        "DTHCAUS",
        "DTHCAT",
        "LDDTHELD",
        "LDDTHGR1",
        "LSTALVDT",
        "DTHADY",
        "ADTHAUT"
      ],
      "rows": 400,
      "table": true,
      "tojson": true
    },
    {
      "name": "aesi",
      "title": "Adverse Events of Special Interest (AESI) example dataset",
      "object": "aesi",
      "class": [
        "data.table",
        "data.frame"
      ],
      "fields": [
        "STUDYID",
        "USUBJID",
        "SUBJID",
        "SITEID",
        "AGE",
        "AGEU",
        "SEX",
        "RACE",
        "ETHNIC",
        "COUNTRY",
        "DTHFL",
        "INVID",
        "INVNAM",
        "ARM",
        "ARMCD",
        "ACTARM",
        "ACTARMCD",
        "TRT01P",
        "TRT01A",
        "TRT02P",
        "TRT02A",
        "REGION1",
        "STRATA1",
        "STRATA2",
        "BMRKR1",
        "BMRKR2",
        "ITTFL",
        "SAFFL",
        "BMEASIFL",
        "BEP01FL",
        "AEWITHFL",
        "RANDDT",
        "TRTSDTM",
        "TRTEDTM",
        "TRT01SDTM",
        "TRT01EDTM",
        "TRT02SDTM",
        "TRT02EDTM",
        "AP01SDTM",
        "AP01EDTM",
        "AP02SDTM",
        "AP02EDTM",
        "EOSSTT",
        "EOTSTT",
        "EOSDT",
        "EOSDY",
        "DCSREAS",
        "DTHDT",
        "DTHCAUS",
        "DTHCAT",
        "LDDTHELD",
        "LDDTHGR1",
        "LSTALVDT",
        "DTHADY",
        "ADTHAUT",
        "ASEQ",
        "AESEQ",
        "AETERM",
        "AELLT",
        "AEDECOD",
        "AEHLT",
        "AEHLGT",
        "AEBODSYS",
        "AESOC",
        "AESEV",
        "AESER",
        "AEACN",
        "AEREL",
        "AEOUT",
        "AESDTH",
        "AESCONG",
        "AESDISAB",
        "AESHOSP",
        "AESLIFE",
        "AESMIE",
        "TRTEMFL",
        "AECONTRT",
        "ASTDTM",
        "AENDTM",
        "ASTDY",
        "AENDY",
        "LDOSEDTM",
        "LDRELTM",
        "AETOXGR",
        "SMQ01NAM",
        "SMQ02NAM",
        "SMQ01SC",
        "SMQ02SC",
        "CQ01NAM",
        "ANL01FL",
        "AERELNST",
        "AEACNOTH",
        "FATAL",
        "SEV",
        "SER",
        "SERWD",
        "SERDSM",
        "RELSER",
        "WD",
        "DSM",
        "REL",
        "RELWD",
        "RELDSM"
      ],
      "rows": 1586,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "adae",
      "title": "Adverse Event Analysis Dataset example dataset",
      "topics": [
        "adae"
      ]
    },
    {
      "page": "adlb",
      "title": "ADaM Basic Data Structure (BDS) example dataset",
      "topics": [
        "adlb"
      ]
    },
    {
      "page": "adsl",
      "title": "Subject-Level Analysis Dataset (ADSL) example dataset",
      "topics": [
        "adsl"
      ]
    },
    {
      "page": "aesi",
      "title": "Adverse Events of Special Interest (AESI) example dataset",
      "topics": [
        "aesi"
      ]
    },
    {
      "page": "AET01_table",
      "title": "Generate Core Safety Tables for Clinical Study Reports",
      "topics": [
        "AET01_table"
      ]
    },
    {
      "page": "AET02_table",
      "title": "Create AET02-style AE summary table",
      "topics": [
        "AET02_table"
      ]
    },
    {
      "page": "as_dtlg_table",
      "title": "Convert a TableTree to a dtlg table",
      "topics": [
        "as_dtlg_table"
      ]
    },
    {
      "page": "calc_counts",
      "title": "Calculate counts of a categorical variable",
      "topics": [
        "calc_counts"
      ]
    },
    {
      "page": "calc_desc",
      "title": "Calculate descriptive summary statistics for a numeric variable",
      "topics": [
        "calc_desc"
      ]
    },
    {
      "page": "calc_stats",
      "title": "Calculate summary statistics for a variable",
      "topics": [
        "calc_stats"
      ]
    },
    {
      "page": "cross_tab_to_obsv_tab",
      "title": "Convert a contingency table to a long-format observation-level data frame",
      "topics": [
        "cross_tab_to_obsv_tab"
      ]
    },
    {
      "page": "dt_copy_semantics",
      "title": "Get or set data.table copy semantics",
      "topics": [
        "dt_copy_semantics",
        "set_dt_copy_semantics"
      ]
    },
    {
      "page": "event_count",
      "title": "Count events",
      "topics": [
        "event_count"
      ]
    },
    {
      "page": "event_count_by",
      "title": "Summarise adverse events by arm and other grouping variables",
      "topics": [
        "event_count_by"
      ]
    },
    {
      "page": "label",
      "title": "Retrieve the label of an object",
      "topics": [
        "label"
      ]
    },
    {
      "page": "maybe_copy_dt",
      "title": "Return a data.table by reference or by value",
      "topics": [
        "maybe_copy_dt"
      ]
    },
    {
      "page": "merge_table_lists",
      "title": "Merge a list of list-wrapped data.tables into one data.table",
      "topics": [
        "merge_table_lists"
      ]
    },
    {
      "page": "multi_event_true",
      "title": "Summarise multiple AESI-like events per treatment arm",
      "topics": [
        "multi_event_true"
      ]
    },
    {
      "page": "print_dtlg",
      "title": "Print a 'dtlg' table",
      "topics": [
        "print_dtlg"
      ]
    },
    {
      "page": "round_pct",
      "title": "Rounded percentage",
      "topics": [
        "round_pct"
      ]
    },
    {
      "page": "round_sum",
      "title": "Rounds numbers while preserving the total sum",
      "topics": [
        "round_sum"
      ]
    },
    {
      "page": "summary_table",
      "title": "Summary Table",
      "topics": [
        "summary_table"
      ]
    },
    {
      "page": "summary_table_by",
      "title": "Create a summary table using multiple rows for grouping on one target column",
      "topics": [
        "summary_table_by"
      ]
    },
    {
      "page": "summary_table_by_targets",
      "title": "Create a summary table using multiple rows for grouping on two target column ideal for creating change from baseline tables",
      "topics": [
        "summary_table_by_targets"
      ]
    },
    {
      "page": "tern_AET01_table",
      "title": "Generate Core Safety Tables (CSR Section 14.3.1) using 'tern'/'rtables'",
      "topics": [
        "tern_AET01_table"
      ]
    },
    {
      "page": "tern_AET02_table",
      "title": "Generate AET02-style AE summary using 'tern' and 'rtables'",
      "topics": [
        "tern_AET02_table"
      ]
    },
    {
      "page": "tern_summary_table",
      "title": "Create a clinical reporting table with tern/rtables",
      "topics": [
        "tern_summary_table"
      ]
    },
    {
      "page": "total_events",
      "title": "Count total events",
      "topics": [
        "total_events"
      ]
    },
    {
      "page": "with_label",
      "title": "Add a label attribute to an object",
      "topics": [
        "with_label"
      ]
    }
  ],
  "_pkglogo": "https://github.com/AscentSoftware/dtlg/raw/HEAD/man/figures/logo.svg",
  "_readme": "https://github.com/AscentSoftware/dtlg/raw/HEAD/README.md",
  "_rundeps": [
    "data.table"
  ],
  "_score": 4.096910013008056,
  "_indexed": true,
  "_nocasepkg": "dtlg",
  "_universes": [
    "ascentsoftware",
    "ramiromagno"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.2",
      "date": "2026-10-13T10:52:30.000Z",
      "distro": "resolute",
      "commit": "2fee32308ebdce9e94b8fc647008b29acf3ae9b4",
      "fileid": "https://r2.ropensci.org/bf7c4750cab42735264c2e35f5f5e9521f95b45306ee8c79421dc7f74818f9ae",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/ascentsoftware/actions/runs/38385505146"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.1.2",
      "date": "2026-10-13T10:52:48.000Z",
      "distro": "resolute",
      "commit": "2fee32308ebdce9e94b8fc647008b29acf3ae9b4",
      "fileid": "https://r2.ropensci.org/6e0d8aa29f55b0d5ae90eb42e8d70662544c6469f1432231a6933cf6812ccffa",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/ascentsoftware/actions/runs/38385505146"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.1.2",
      "date": "2026-10-13T10:53:13.000Z",
      "commit": "2fee32308ebdce9e94b8fc647008b29acf3ae9b4",
      "fileid": "https://r2.ropensci.org/00b6044d141ac66c68d24cc59ef422c48843083a93550b1b9fbee41d60ef2527",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/ascentsoftware/actions/runs/38385505146"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.1.2",
      "date": "2026-10-13T10:52:13.000Z",
      "commit": "2fee32308ebdce9e94b8fc647008b29acf3ae9b4",
      "fileid": "https://r2.ropensci.org/fc46e8f9df6032e9475609876fad870a70ee2d209ffb3c82036491b952981caa",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/ascentsoftware/actions/runs/38385505146"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.2",
      "date": "2026-10-13T10:52:01.000Z",
      "commit": "2fee32308ebdce9e94b8fc647008b29acf3ae9b4",
      "fileid": "https://r2.ropensci.org/30c4d49ba587ee358bba1da5c40541930394ab0ed2db0ad43c4c3870de42cef5",
      "status": "success",
      "buildurl": "https://github.com/r-universe/ascentsoftware/actions/runs/38385505146"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.2",
      "date": "2026-10-13T10:51:20.000Z",
      "commit": "2fee32308ebdce9e94b8fc647008b29acf3ae9b4",
      "fileid": "https://r2.ropensci.org/973041b949db2fd9461ea3f4a95fff78d6f449d4fb0dbb582764b185a98bbbc9",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/ascentsoftware/actions/runs/38385505146"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.1.2",
      "date": "2026-10-13T10:51:14.000Z",
      "commit": "2fee32308ebdce9e94b8fc647008b29acf3ae9b4",
      "fileid": "https://r2.ropensci.org/a211441badc5ab10d00b76aeb7bba683e869749e0f3b94525844dd6b57e4572b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/ascentsoftware/actions/runs/38385505146"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.1.2",
      "date": "2026-10-13T10:51:15.000Z",
      "commit": "2fee32308ebdce9e94b8fc647008b29acf3ae9b4",
      "fileid": "https://r2.ropensci.org/30f97907d8ab57da709c0480ba37955580ee31ed9522df944a03943197ff49c6",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/ascentsoftware/actions/runs/38385505146"
    }
  ]
}