{ "_id": "6a1ed7f9b401979e7340ef41", "Package": "tidytlg", "Title": "Create TLGs using the 'tidyverse'", "Version": "0.11.0.9000", "Language": "en-US", "Authors@R": "c(person(given = \"Nicholas\",\nfamily = \"Masel\",\nrole = \"aut\",\nemail = \"nmasel@its.jnj.com\"),\nperson(given = \"Steven\",\nfamily = \"Haesendonckx\",\nrole = \"aut\",\nemail = \"shaesen2@its.jnj.com\"),\nperson(given = \"Pelagia\",\nfamily = \"Alexandra Papadopoulou\",\nrole = \"aut\",\nemail = \"ppapadop@its.jnj.com\"),\nperson(given = \"Sheng-Wei\",\nfamily = \"Wang\",\nrole = \"aut\",\nemail = \"swang69@its.jnj.com\"),\nperson(given = \"Eli\",\nfamily = \"Miller\",\nrole = \"aut\",\nemail = \"eli.miller@atorusresearch.com\",\ncomment = c(ORCID = \"0000-0002-2127-9456\")),\nperson(given = \"Nathan\",\nfamily = \"Kosiba\",\nemail = \"nkosiba@its.jnj.com\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0001-5359-4234\")),\nperson(given = \"Aidan\",\nfamily = \"Ceney\",\nrole = \"aut\",\nemail = \"aceney@its.jnj.com\",\ncomment = c(ORCID = \"0000-0001-8313-487X\")),\nperson(given = \"Janssen R&D\",\nrole = c(\"cph\", \"fnd\")),\nperson(given = \"David\",\nfamily = \"Hugh-Jones\",\nrole = \"cph\",\ncomment = \"Author of included 'huxtable' library\"),\nperson(given = \"Konrad\",\nfamily = \"Pagacz\",\nrole = c(\"aut\", \"cre\"),\nemail = \"kpagacz@its.jnj.com\")\n)", "Description": "Generate tables, listings, and graphs (TLG) using\n'tidyverse'. Tables can be created functionally, using a\nstandard TLG process, or by specifying table and column\nmetadata to create generic analysis summaries. The 'envsetup'\npackage can also be leveraged to create environments for table\ncreation.", "License": "Apache License 2.0", "URL": "https://pharmaverse.github.io/tidytlg/main/,\nhttps://github.com/pharmaverse/tidytlg", "BugReports": "https://github.com/pharmaverse/tidytlg/issues", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "Roxygen": "list(markdown = TRUE)", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Config/pak/sysreqs": "texlive libicu-dev libpng-dev libxml2-dev", "Repository": "https://pharmaverse.r-universe.dev", "Date/Publication": "2026-04-20 13:44:05 UTC", "RemoteUrl": "https://github.com/pharmaverse/tidytlg", "RemoteRef": "HEAD", "RemoteSha": "cc1af94fba73bd8a923e4f5047d12a00d6301aa7", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-20 09:54:40 UTC", "User": "root" }, "Author": "Nicholas Masel [aut],\nSteven Haesendonckx [aut],\nPelagia Alexandra Papadopoulou [aut],\nSheng-Wei Wang [aut],\nEli Miller [aut] (ORCID: ),\nNathan Kosiba [aut] (ORCID: ),\nAidan Ceney [aut] (ORCID: ),\nJanssen R&D [cph, fnd],\nDavid Hugh-Jones [cph] (Author of included 'huxtable' library),\nKonrad Pagacz [aut, cre]", "Maintainer": "Konrad Pagacz ", "MD5sum": "fa56a4d0abf59314d61e01957b13f33b", "_user": "pharmaverse", "_type": "src", "_file": "tidytlg_0.11.0.9000.tar.gz", "_fileid": "6b08f98c6b329f1ce313a100fb5258b4af5513cd17d00f4e60b6499a5717881a", "_filesize": 1218798, "_sha256": "6b08f98c6b329f1ce313a100fb5258b4af5513cd17d00f4e60b6499a5717881a", "_created": "2026-05-20T09:54:40.000Z", "_published": "2026-06-02T13:17:45.028Z", "_distro": "noble", "_jobs": [ { "job": 79079339404, "time": 256, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "NOTE", "artifact": "7106917754" }, { "job": 79079340300, "time": 258, "config": "linux-release-x86_64", "r": "4.6.0", "check": "NOTE", "artifact": "7106918214" }, { "job": 79079339926, "time": 174, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "NOTE", "artifact": "7106893645" }, { "job": 79079339474, "time": 171, "config": "macos-release-arm64", "r": "4.6.0", "check": "NOTE", "artifact": "7106889843" }, { "job": 79079339225, "time": 269, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7106828387" }, { "job": 79079338713, "time": 177, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7358757754" }, { "job": 79079339369, "time": 183, "config": "windows-devel", "r": "4.7.0", "check": "NOTE", "artifact": "7106892980" }, { "job": 79079340442, "time": 138, "config": "windows-oldrel", "r": "4.5.3", "check": "NOTE", "artifact": "7106877656" }, { "job": 79079339948, "time": 178, "config": "windows-release", "r": "4.6.0", "check": "NOTE", "artifact": "7106890547" } ], "_buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/26154887906", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/pharmaverse/tidytlg", "_commit": { "id": "cc1af94fba73bd8a923e4f5047d12a00d6301aa7", "author": "Konrad Pagacz ", "committer": "GitHub ", "message": "refactor: styling and made the check for the output format consistent in gentlg_single", "time": 1776692645 }, "_maintainer": { "name": "Konrad Pagacz", "email": "kpagacz@its.jnj.com" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "cli", "version": ">= 3.6.0", "role": "Imports" }, { "package": "dplyr", "version": ">= 1.1.0", "role": "Imports" }, { "package": "tibble", "version": ">= 2.1.3", "role": "Imports" }, { "package": "magrittr", "version": ">= 1.5", "role": "Imports" }, { "package": "rlang", "version": ">= 0.4.10", "role": "Imports" }, { "package": "tidyr", "version": ">= 1.0.0", "role": "Imports" }, { "package": "stats", "version": ">= 3.6.0", "role": "Imports" }, { "package": "stringr", "version": ">= 1.4.0", "role": "Imports" }, { "package": "forcats", "version": ">= 0.5.1", "role": "Imports" }, { "package": "purrr", "version": ">= 0.3.4", "role": "Imports" }, { "package": "huxtable", "version": ">= 5.1.0", "role": "Imports" }, { "package": "assertthat", "version": ">= 0.2.1", "role": "Imports" }, { "package": "glue", "version": ">= 1.4.2", "role": "Imports" }, { "package": "crayon", "version": ">= 1.4.1", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "readxl", "version": ">= 1.3.1", "role": "Imports" }, { "package": "cellranger", "version": ">= 1.1.0", "role": "Imports" }, { "package": "png", "version": ">= 0.1-7", "role": "Imports" }, { "package": "ggplot2", "version": ">= 3.3.2", "role": "Imports" }, { "package": "rstudioapi", "version": ">= 0.13", "role": "Imports" }, { "package": "testthat", "version": ">= 2.1.0", "role": "Suggests" }, { "package": "knitr", "version": ">= 1.23", "role": "Suggests" }, { "package": "rmarkdown", "version": ">= 2.10", "role": "Suggests" }, { "package": "renv", "version": ">= 0.13.2", "role": "Suggests" }, { "package": "shiny", "version": ">= 1.3.2", "role": "Suggests" }, { "package": "kableExtra", "version": ">= 1.3.4", "role": "Suggests" }, { "package": "haven", "version": ">= 2.4.1", "role": "Suggests" }, { "package": "usethis", "version": ">= 1.6.3", "role": "Suggests" }, { "package": "withr", "version": ">= 2.3.0", "role": "Suggests" } ], "_owner": "pharmaverse", "_selfowned": true, "_usedby": 2, "_updates": [ { "week": "2025-26", "n": 4 }, { "week": "2025-27", "n": 1 }, { "week": "2025-51", "n": 12 }, { "week": "2026-13", "n": 2 }, { "week": "2026-16", "n": 3 }, { "week": "2026-17", "n": 2 } ], "_tags": [ { "name": "v0.11.0", "date": "2025-12-17" }, { "name": "v0.12.0", "date": "2026-04-21" } ], "_stars": 40, "_contributors": [ { "user": "kpagacz", "count": 43, "uuid": 24480246 }, { "user": "elimillera", "count": 42, "uuid": 24767886 }, { "user": "shengwei66", "count": 18, "uuid": 48532213 }, { "user": "rmao6", "count": 5, "uuid": 208966637 }, { "user": "eanokian", "count": 4, "uuid": 4982139 }, { "user": "henninglorenzen-ext-bayer", "count": 2, "uuid": 89191115 }, { "user": "nmasel", "count": 2, "uuid": 45665210 }, { "user": "jkovach2", "count": 1, "uuid": 116366284 }, { "user": "nicholas-masel", "count": 1, "uuid": 61123199 }, { "user": "olivroy", "count": 1, "uuid": 52606734 } ], "_userbio": { "uuid": 84541169, "type": "organization", "name": "pharmaverse" }, "_downloads": { "count": 1094, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/tidytlg" }, "_devurl": "https://github.com/pharmaverse/tidytlg", "_pkgdown": "https://pharmaverse.github.io/tidytlg/main/", "_searchresults": 62, "_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/tidytlg.html", "manual.pdf" ], "_homeurl": "https://github.com/pharmaverse/tidytlg", "_realowner": "pharmaverse", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2023-05-05" }, { "version": "0.1.1", "date": "2023-05-10" }, { "version": "0.1.2", "date": "2023-06-23" }, { "version": "0.1.3", "date": "2023-08-31" }, { "version": "0.1.4", "date": "2023-10-18" }, { "version": "0.1.5", "date": "2024-06-15" }, { "version": "0.1.6", "date": "2025-05-02" }, { "version": "0.10.0", "date": "2025-07-02" }, { "version": "0.11.0", "date": "2025-12-19" }, { "version": "0.12.0", "date": "2026-04-21" } ], "_exports": [ "add_bottom_borders", "add_format", "add_indent", "add_newrows", "bind_table", "char2factor", "col_borders", "freq", "generate_results", "gentlg", "get_file_name", "insert_empty_rows", "nested_freq", "no_borders", "replace_na_with_blank", "rmdpstitle", "roundSAS", "row_border", "single_border", "spanning_borders", "spanning_headers", "statlist", "tidytlg_metadata", "tidytlg_titles", "tlgsetup", "univar" ], "_datasets": [ { "name": "cdisc_adae", "title": "'ADAE' data created from subsetting the 'CDISC' 'ADAE' dataset", "object": "cdisc_adae", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "STUDYID", "SITEID", "USUBJID", "TRTA", "TRTAN", "AGE", "AGEGR1", "AGEGR1N", "RACE", "RACEN", "SEX", "SAFFL", "TRTSDT", "TRTEDT", "ASTDT", "ASTDTF", "ASTDY", "AENDT", "AENDY", "ADURN", "ADURU", "AETERM", "AELLT", "AELLTCD", "AEDECOD", "AEPTCD", "AEHLT", "AEHLTCD", "AEHLGT", "AEHLGTCD", "AEBODSYS", "AESOC", "AESOCCD", "AESEV", "AESER", "AESCAN", "AESCONG", "AESDISAB", "AESDTH", "AESHOSP", "AESLIFE", "AESOD", "AEREL", "AEACN", "AEOUT", "AESEQ", "TRTEMFL", "AOCCFL", "AOCCSFL", "AOCCPFL", "AOCC02FL", "AOCC03FL", "AOCC04FL", "CQ01NAM", "AOCC01FL" ], "rows": 84, "table": true, "tojson": true }, { "name": "cdisc_adlb", "title": "'ADLB' data created from subsetting the 'CDISC' 'ADLB' dataset", "object": "cdisc_adlb", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "STUDYID", "SUBJID", "USUBJID", "TRTP", "TRTPN", "TRTA", "TRTAN", "TRTSDT", "TRTEDT", "AGE", "AGEGR1", "AGEGR1N", "RACE", "RACEN", "SEX", "COMP24FL", "DSRAEFL", "SAFFL", "AVISIT", "AVISITN", "ADY", "ADT", "VISIT", "VISITNUM", "PARAM", "PARAMCD", "PARAMN", "PARCAT1", "AVAL", "BASE", "CHG", "A1LO", "A1HI", "R2A1LO", "R2A1HI", "BR2A1LO", "BR2A1HI", "ANL01FL", "ALBTRVAL", "ANRIND", "BNRIND", "ABLFL", "AENTMTFL", "LBSEQ", "LBNRIND", "LBSTRESN" ], "rows": 2154, "table": true, "tojson": true }, { "name": "cdisc_adsl", "title": "'ADSL' data created from subsetting the 'CDISC' 'ADSL' with 15 subjects (5 subjects in each arm)", "object": "cdisc_adsl", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "STUDYID", "USUBJID", "SUBJID", "SITEID", "SITEGR1", "ARM", "TRT01P", "TRT01PN", "TRT01A", "TRT01AN", "TRTSDT", "TRTEDT", "TRTDURD", "AVGDD", "CUMDOSE", "AGE", "AGEGR1", "AGEGR1N", "AGEU", "RACE", "RACEN", "SEX", "ETHNIC", "SAFFL", "ITTFL", "EFFFL", "COMP8FL", "COMP16FL", "COMP24FL", "DISCONFL", "DSRAEFL", "DTHFL", "BMIBL", "BMIBLGR1", "HEIGHTBL", "WEIGHTBL", "EDUCLVL", "DISONSDT", "DURDIS", "DURDSGR1", "VISIT1DT", "RFSTDTC", "RFENDTC", "VISNUMEN", "RFENDT", "DCDECOD", "EOSSTT", "DCSREAS", "MMSETOT" ], "rows": 15, "table": true, "tojson": true }, { "name": "cdisc_advs", "title": "'ADVS' data created from subsetting the 'CDISC' 'ADVS' dataset", "object": "cdisc_advs", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "STUDYID", "SITEID", "USUBJID", "AGE", "AGEGR1", "AGEGR1N", "RACE", "RACEN", "SEX", "SAFFL", "TRTSDT", "TRTEDT", "TRTP", "TRTPN", "TRTA", "TRTAN", "PARAMCD", "PARAM", "PARAMN", "ADT", "ADY", "ATPTN", "ATPT", "AVISIT", "AVISITN", "AVAL", "BASE", "BASETYPE", "CHG", "PCHG", "VISITNUM", "VISIT", "VSSEQ", "ANL01FL", "ABLFL" ], "rows": 1938, "table": true, "tojson": true }, { "name": "column_metadata", "title": "Metadata describing table column layouts", "object": "column_metadata", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "tbltype", "coldef", "decode", "span1", "span2", "span3" ], "rows": 12, "table": true, "tojson": true }, { "name": "table_metadata", "title": "Metadata describing the data, functions and arguments needed to produce your results.", "object": "table_metadata", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "func", "df", "rowvar", "decimal", "rowtext", "row_header", "statlist", "subset", "colvar", "tablebyvar", "rowbyvar", "denom_df" ], "rows": 3, "table": false, "tojson": true } ], "_help": [ { "page": "add_bottom_borders", "title": "Adds bottom borders to a 'huxtable'", "topics": [ "add_bottom_borders" ] }, { "page": "add_format", "title": "Add the formatting variables of 'indentme', 'newrows', 'newpage', and 'roworder' to the results dataframe", "topics": [ "add_format" ] }, { "page": "add_indent", "title": "Add indentation variable to the results dataframe", "topics": [ "add_indent" ] }, { "page": "add_newrows", "title": "Add the 'newrows' variable to the results dataframe.", "topics": [ "add_newrows" ] }, { "page": "bind_table", "title": "Bind a set of 'tidytlg' tables together with formatting variables", "topics": [ "bind_table" ] }, { "page": "cdisc-adae", "title": "'ADAE' data created from subsetting the 'CDISC' 'ADAE' dataset", "topics": [ "cdisc adae", "cdisc_adae" ] }, { "page": "cdisc-adlb", "title": "'ADLB' data created from subsetting the 'CDISC' 'ADLB' dataset", "topics": [ "cdisc adlb", "cdisc_adlb" ] }, { "page": "cdisc-adsl", "title": "'ADSL' data created from subsetting the 'CDISC' 'ADSL' with 15 subjects (5 subjects in each arm)", "topics": [ "cdisc adsl", "cdisc_adsl" ] }, { "page": "cdisc-advs", "title": "'ADVS' data created from subsetting the 'CDISC' 'ADVS' dataset", "topics": [ "cdisc advs", "cdisc_advs" ] }, { "page": "char2factor", "title": "Convert character variable to a factor based off it's numeric variable counterpart.", "topics": [ "char2factor" ] }, { "page": "col_borders", "title": "Adds borders under cells in a column", "concept": [ "border_functions" ], "topics": [ "col_borders" ] }, { "page": "column_metadata", "title": "Metadata describing table column layouts", "topics": [ "column_metadata" ] }, { "page": "freq", "title": "Frequency counts and percentages", "topics": [ "freq" ] }, { "page": "generate_results", "title": "Generate Results using Table and Column Metadata", "topics": [ "generate_results" ] }, { "page": "gentlg", "title": "Output a 'tidytlg' table", "topics": [ "gentlg" ] }, { "page": "get_file_name", "title": "getFileName", "topics": [ "get_file_name" ] }, { "page": "insert_empty_rows", "title": "Inserts empty rows into a data frame", "topics": [ "insert_empty_rows" ] }, { "page": "nested_freq", "title": "Generate nested count/percent for two or three levels", "topics": [ "nested_freq" ] }, { "page": "no_borders", "title": "Removes all borders from the table", "concept": [ "border_functions" ], "topics": [ "no_borders" ] }, { "page": "replace_na_with_blank", "title": "Replace NA with \"\"", "topics": [ "replace_na_with_blank" ] }, { "page": "rmdpstitle", "title": "Get Titles and Footnotes for all TLGs or one specific TLG", "topics": [ "rmdpstitle" ] }, { "page": "roundSAS", "title": "SAS rounding in R", "topics": [ "roundSAS" ] }, { "page": "row_border", "title": "Adds a continuous bottom border under a row", "concept": [ "border_functions" ], "topics": [ "row_border" ] }, { "page": "single_border", "title": "Adds a border under a cell", "concept": [ "border_functions" ], "topics": [ "single_border" ] }, { "page": "spanning_borders", "title": "Adds borders under cells in a row, excluding the first column.", "concept": [ "border_functions" ], "topics": [ "spanning_borders" ] }, { "page": "spanning_headers", "title": "Spanning headers for outputs", "topics": [ "spanning_headers" ] }, { "page": "statlist", "title": "Create a 'statlist' interface for a table", "topics": [ "statlist" ] }, { "page": "table_metadata", "title": "Metadata describing the data, functions and arguments needed to produce your results.", "topics": [ "table_metadata" ] }, { "page": "files", "title": "Helper functions for returning files used in 'gentlg'", "topics": [ "tidytlg_metadata", "tidytlg_titles" ] }, { "page": "tlgsetup", "title": "Setup data to support the specified column type", "topics": [ "tlgsetup" ] }, { "page": "univar", "title": "Descriptive statistics", "topics": [ "univar" ] } ], "_pkglogo": "https://github.com/pharmaverse/tidytlg/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/pharmaverse/tidytlg/raw/HEAD/README.md", "_rundeps": [ "assertthat", "base64enc", "cachem", "cellranger", "cli", "commonmark", "cpp11", "crayon", "digest", "dplyr", "fansi", "farver", "fastmap", "forcats", "generics", "ggplot2", "glue", "gtable", "hms", "htmltools", "huxtable", "isoband", "labeling", "lifecycle", "magrittr", "memoise", "pillar", "pkgconfig", "png", "prettyunits", "progress", "purrr", "R6", "RColorBrewer", "readxl", "rematch", "rlang", "rstudioapi", "S7", "scales", "stringi", "stringr", "tibble", "tidyr", "tidyselect", "utf8", "vctrs", "viridisLite", "withr", "xml2" ], "_vignettes": [ { "source": "tlgsetup.Rmd", "filename": "tlgsetup.html", "title": "Column Metadata & How tidytlg Sets Up Your Data Using tlgsetup", "engine": "knitr::rmarkdown", "headings": [], "created": "2022-12-12 21:29:31", "modified": "2025-12-17 16:14:25", "commits": 5 }, { "source": "freq.Rmd", "filename": "freq.html", "title": "Frequency Analysis", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Counts: statlist = statlist(\"n\")", "Big N row, counts and percentages: statlist = statlist(c(\"N\", \"n (x.x%)\"))", "Using factor to order category summary", "Counts, denominators, and percentages: statlist = statlist(c(\"n/N (x.x%)\"))", "By processing: statlist = statlist(c(\"N\", \"n (x.x%)\"))", "Padding factor levels on and off", "Denominator Dataframe", "By processing and denominators: statlist = statlist(c(\"n (x.x)\"), denoms_by = \"TRT01AN\")", "Available statlist formats for frequency summary", "Nested Frequency Analysis" ], "created": "2022-12-12 21:29:31", "modified": "2025-12-17 16:06:11", "commits": 4 }, { "source": "tidytlg.Rmd", "filename": "tidytlg.html", "title": "Get Started", "engine": "knitr::rmarkdown", "headings": [ "Overview of TLG Programming", "Prep environment", "titles and footnotes", "Column metadata", "Process data", "Generate results", "Output results", "Listing programming", "Graph programming", "Metadata method", "By processing" ], "created": "2022-12-12 21:29:31", "modified": "2025-12-17 16:40:20", "commits": 10 }, { "source": "tbl_manipulation.Rmd", "filename": "tbl_manipulation.html", "title": "Manipulating tbl data frame", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Basic tbl data frame", "Formatting table", "Add new row", "Add indentation", "Enable bold font", "Formatting functions" ], "created": "2022-12-12 21:29:31", "modified": "2025-12-17 16:14:25", "commits": 5 }, { "source": "symbols.Rmd", "filename": "symbols.html", "title": "Tips & Tricks: Including Symbols, Superscripts, Subscripts & Line Breaks", "engine": "knitr::rmarkdown", "headings": [ "Symbols", "Superscripts and Subscripts", "Inline RTF Line Breaks" ], "created": "2022-12-12 21:29:31", "modified": "2025-12-17 16:14:25", "commits": 5 }, { "source": "univar.Rmd", "filename": "univar.html", "title": "Univariate Statistics Analysis", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Customizing Univariate Statistics", "Decimal Precision", "Data Driven Precision" ], "created": "2022-12-12 21:29:31", "modified": "2025-12-17 16:06:11", "commits": 4 } ], "_score": 9.421135267749904, "_indexed": true, "_nocasepkg": "tidytlg", "_universes": [ "pharmaverse" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.11.0.9000", "date": "2026-05-20T09:58:10.000Z", "distro": "noble", "commit": "cc1af94fba73bd8a923e4f5047d12a00d6301aa7", "fileid": "62ad87c204c14e75822aa572ae91f6e22daad6db95fd9339f2dfd0a3acd427f8", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/26154887906" }, { "r": "4.6.0", "os": "linux", "version": "0.11.0.9000", "date": "2026-05-20T09:58:16.000Z", "distro": "noble", "commit": "cc1af94fba73bd8a923e4f5047d12a00d6301aa7", "fileid": "622041bb18dfe1068b31e670ad8817dfc5b64ba30e3472c3c0e496e6580f51ea", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/26154887906" }, { "r": "4.5.3", "os": "mac", "version": "0.11.0.9000", "date": "2026-05-20T09:57:00.000Z", "commit": "cc1af94fba73bd8a923e4f5047d12a00d6301aa7", "fileid": "654415bb27abb6423029b34a72e7fff44f79b3b3b2ec3509da30bb3187859237", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/26154887906" }, { "r": "4.6.0", "os": "mac", "version": "0.11.0.9000", "date": "2026-05-20T09:56:55.000Z", "commit": "cc1af94fba73bd8a923e4f5047d12a00d6301aa7", "fileid": "163f26ae5e5ddca4f3800b687a6b27d8897dd9c40dcee47e690eecc6f8b50920", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/26154887906" }, { "r": "4.7.0", "os": "win", "version": "0.11.0.9000", "date": "2026-05-20T09:56:50.000Z", "commit": "cc1af94fba73bd8a923e4f5047d12a00d6301aa7", "fileid": "8b43344309b7cd7e4b36aa72eba502186ff027d1ecde14e222af6afeff960e6e", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/26154887906" }, { "r": "4.5.3", "os": "win", "version": "0.11.0.9000", "date": "2026-05-20T09:56:04.000Z", "commit": "cc1af94fba73bd8a923e4f5047d12a00d6301aa7", "fileid": "2073113d80e3f320561b4bd550d8d6aab6fdc7ea0d6080a561e3d22d2ddf46ee", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/26154887906" }, { "r": "4.6.0", "os": "win", "version": "0.11.0.9000", "date": "2026-05-20T09:56:24.000Z", "commit": "cc1af94fba73bd8a923e4f5047d12a00d6301aa7", "fileid": "7550d48cfb618b5ec5a8992088bda469bb6aebba2a7795a91dd11cba26184f75", "status": "success", "check": "NOTE", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/26154887906" }, { "r": "4.6.0", "os": "wasm", "version": "0.11.0.9000", "date": "2026-06-02T13:17:23.000Z", "commit": "cc1af94fba73bd8a923e4f5047d12a00d6301aa7", "fileid": "3d88ba4d4e0744463e9ca9c402aa26136fe72e8db7a8b143ddf5ea4b250a6504", "status": "success", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/26154887906" } ] }