{ "_id": "6a27f6c924555f66ed54dbd2", "Type": "Package", "Package": "admiralvaccine", "Title": "Vaccine Extension Package for ADaM in 'R' Asset Library", "Version": "0.6.0.9001", "Authors@R": "c(\nperson(\"Arjun\", \"Rubalingam\", , \"arjun.rubalingam@pfizer.com\", role = c(\"aut\", \"cre\")),\nperson(\"Sukalpo\", \"Saha\", , \"sukalpo.saha@pfizer.com\", role = c(\"aut\", \"ctb\")),\nperson(\"Ben\", \"Straub\", , \"ben.x.straub@gsk.com\", role = \"aut\"),\nperson(\"Vikram\", \"S\", role = \"aut\"),\nperson(\"Dhivya\", \"Kanagaraj\", role = \"aut\"),\nperson(\"Federico\", \"Baratin\", role = \"aut\"),\nperson(\"Yamini\", \"Purna Bollu\", role = \"aut\"),\nperson(\"Ilse\", \"Augustyns\", role = \"aut\"),\nperson(\"Kalyani\", \"Bodicherla\", role = \"aut\"),\nperson(\"Hilde\", \"Delanghe\", role = \"aut\"),\nperson(\"Lee\", \"Armishaw\", role = \"aut\"),\nperson(\"Neetu\", \"Sangari\", role = \"ctb\"),\nperson(\"Abdul\", \"Khayat\", role = \"ctb\"),\nperson(\"Ankur\", \"Jindal\", role = \"ctb\"),\nperson(\"Jayashree\", \"V\", role = \"ctb\"),\nperson(\"Jagadish\", \"Katam\", role = \"ctb\"),\nperson(\"Andrea\", \"Pammolli\", role = \"ctb\"),\nperson(\"Daniele\", \"Bottigliengo\", role = \"ctb\"),\nperson(\"Ranya\", \"Ben Hsain\", role = \"ctb\"),\nperson(\"Marleen\", \"Nijs\", role = \"ctb\"),\nperson(\"Mandy\", \"Peng\", role = \"ctb\"),\nperson(\"Tina\", \"Zhai\", role = \"ctb\"),\nperson(\"Ross\", \"Farrugia\", role = \"ctb\"),\nperson(\"Stefan\", \"Bundfuss\", role = \"ctb\"),\nperson(\"Edoardo\", \"Mancini\", role = \"ctb\"),\nperson(\"Pfizer Inc.\", role = c(\"cph\", \"fnd\")),\nperson(\"GlaxoSmithKline LLC\", role = c(\"cph\", \"fnd\")),\nperson(\"Johnson & Johnson\", role = c(\"cph\", \"fnd\"))\n)", "Description": "Programming vaccine specific Clinical Data Interchange\nStandards Consortium (CDISC) compliant Analysis Data Model\n(ADaM) datasets in 'R'. Flat model is followed as per Center\nfor Biologics Evaluation and Research (CBER) guidelines for\ncreating vaccine specific domains. ADaM datasets are a\nmandatory part of any New Drug or Biologics License Application\nsubmitted to the United States Food and Drug Administration\n(FDA). Analysis derivations are implemented in accordance with\nthe \"Analysis Data Model Implementation Guide\" (CDISC Analysis\nData Model Team (2021),\n).\nThe package is an extension package of the 'admiral' package.", "License": "Apache License (>= 2)", "URL": "https://pharmaverse.github.io/admiralvaccine/,\nhttps://github.com/pharmaverse/admiralvaccine/", "BugReports": "https://github.com/pharmaverse/admiralvaccine/issues/", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Encoding": "UTF-8", "Language": "en-US", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libxml2-dev", "Repository": "https://pharmaverse.r-universe.dev", "Date/Publication": "2026-03-11 08:54:19 UTC", "RemoteUrl": "https://github.com/pharmaverse/admiralvaccine", "RemoteRef": "HEAD", "RemoteSha": "7c4a46c807cea71d95ea6754477df239c99e0877", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-09 11:15:38 UTC", "User": "root" }, "Author": "Arjun Rubalingam [aut, cre],\nSukalpo Saha [aut, ctb],\nBen Straub [aut],\nVikram S [aut],\nDhivya Kanagaraj [aut],\nFederico Baratin [aut],\nYamini Purna Bollu [aut],\nIlse Augustyns [aut],\nKalyani Bodicherla [aut],\nHilde Delanghe [aut],\nLee Armishaw [aut],\nNeetu Sangari [ctb],\nAbdul Khayat [ctb],\nAnkur Jindal [ctb],\nJayashree V [ctb],\nJagadish Katam [ctb],\nAndrea Pammolli [ctb],\nDaniele Bottigliengo [ctb],\nRanya Ben Hsain [ctb],\nMarleen Nijs [ctb],\nMandy Peng [ctb],\nTina Zhai [ctb],\nRoss Farrugia [ctb],\nStefan Bundfuss [ctb],\nEdoardo Mancini [ctb],\nPfizer Inc. [cph, fnd],\nGlaxoSmithKline LLC [cph, fnd],\nJohnson & Johnson [cph, fnd]", "Maintainer": "Arjun Rubalingam ", "MD5sum": "20cc1f196286a193156ffc4a52f689db", "_user": "pharmaverse", "_type": "src", "_file": "admiralvaccine_0.6.0.9001.tar.gz", "_fileid": "891d2fc7d0928ead1e756b9276541072fd70803000afa5e2f5a6c2560e7cdd4c", "_filesize": 293543, "_sha256": "891d2fc7d0928ead1e756b9276541072fd70803000afa5e2f5a6c2560e7cdd4c", "_created": "2026-06-09T11:15:38.000Z", "_published": "2026-06-09T11:19:37.079Z", "_distro": "noble", "_jobs": [ { "job": 80309491772, "time": 156, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "7506065214" }, { "job": 80309491885, "time": 193, "config": "linux-release-x86_64", "r": "4.6.0", "check": "WARNING", "artifact": "7506077230" }, { "job": 80309491793, "time": 101, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "WARNING", "artifact": "7506066427" }, { "job": 80309491816, "time": 121, "config": "macos-release-arm64", "r": "4.6.0", "check": "WARNING", "artifact": "7506082559" }, { "job": 80308861247, "time": 213, "config": "source", "r": "4.6.0", "check": "ERROR", "artifact": "7506010247" }, { "job": 80309491907, "time": 145, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7506060904" }, { "job": 80309491842, "time": 105, "config": "windows-devel", "r": "4.7.0", "check": "WARNING", "artifact": "7506047724" }, { "job": 80309491848, "time": 112, "config": "windows-oldrel", "r": "4.5.3", "check": "WARNING", "artifact": "7506049765" }, { "job": 80309491896, "time": 126, "config": "windows-release", "r": "4.6.0", "check": "WARNING", "artifact": "7506054348" } ], "_buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/27202214299", "_status": "failure", "_host": "GitHub-Actions", "_upstream": "https://github.com/pharmaverse/admiralvaccine", "_commit": { "id": "7c4a46c807cea71d95ea6754477df239c99e0877", "author": "arjoon-r <115066417+arjoon-r@users.noreply.github.com>", "committer": "github-actions <41898282+github-actions[bot]@users.noreply.github.com>", "message": "[skip actions] Bump version to 0.6.0.9001\n", "time": 1773219259 }, "_maintainer": { "name": "Arjun Rubalingam", "email": "arjun.rubalingam@pfizer.com", "login": "arju24", "description": "Statistical Data Scientist", "uuid": 105790229 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5", "role": "Depends" }, { "package": "admiral", "version": ">= 1.4.0", "role": "Imports" }, { "package": "admiraldev", "version": ">= 1.4.0", "role": "Imports" }, { "package": "assertthat", "version": ">= 0.2.1", "role": "Imports" }, { "package": "cli", "version": ">= 3.6.2", "role": "Imports" }, { "package": "dplyr", "version": ">= 0.8.4", "role": "Imports" }, { "package": "hms", "version": ">= 0.5.3", "role": "Imports" }, { "package": "lifecycle", "version": ">= 0.1.0", "role": "Imports" }, { "package": "lubridate", "version": ">= 1.7.4", "role": "Imports" }, { "package": "magrittr", "version": ">= 1.5", "role": "Imports" }, { "package": "purrr", "version": ">= 0.3.3", "role": "Imports" }, { "package": "rlang", "version": ">= 0.4.4", "role": "Imports" }, { "package": "stringr", "version": ">= 1.4.0", "role": "Imports" }, { "package": "tidyr", "version": ">= 1.0.2", "role": "Imports" }, { "package": "tidyselect", "version": ">= 1.0.0", "role": "Imports" }, { "package": "covr", "role": "Suggests" }, { "package": "devtools", "role": "Suggests" }, { "package": "diffdf", "role": "Suggests" }, { "package": "DT", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "lintr", "role": "Suggests" }, { "package": "metatools", "role": "Suggests" }, { "package": "methods", "role": "Suggests" }, { "package": "miniUI", "role": "Suggests" }, { "package": "pharmaversesdtm", "role": "Suggests" }, { "package": "pkgdown", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "roxygen2", "role": "Suggests" }, { "package": "spelling", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" }, { "package": "tibble", "role": "Suggests" }, { "package": "usethis", "role": "Suggests" } ], "_owner": "pharmaverse", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-34", "n": 1 }, { "week": "2025-36", "n": 2 }, { "week": "2025-37", "n": 2 }, { "week": "2025-38", "n": 3 }, { "week": "2026-04", "n": 3 }, { "week": "2026-11", "n": 2 } ], "_tags": [ { "name": "v0.5.0", "date": "2025-09-18" }, { "name": "v0.6.0", "date": "2026-01-23" } ], "_topics": [ "cdisc" ], "_stars": 8, "_contributors": [ { "user": "arjoon-r", "count": 664, "uuid": 115066417 }, { "user": "vikrams95", "count": 490, "uuid": 106981001 }, { "user": "federicobaratin", "count": 159, "uuid": 116661039 }, { "user": "ahasoplakus", "count": 102, "uuid": 51382535 }, { "user": "dgrassellyb", "count": 18, "uuid": 56442075 }, { "user": "galachad", "count": 17, "uuid": 4296390 }, { "user": "yaminibollu", "count": 15, "uuid": 117985678 }, { "user": "larmisha22", "count": 15, "uuid": 118460528 }, { "user": "iaugu", "count": 13, "uuid": 115727346 }, { "user": "kbodicherla", "count": 11, "uuid": 118558326 }, { "user": "manciniedoardo", "count": 8, "uuid": 53403957 }, { "user": "rossfarrugia", "count": 5, "uuid": 82581364 }, { "user": "grasseld", "count": 3, "uuid": 260210242 }, { "user": "vizdhivi", "count": 3, "uuid": 117355207 }, { "user": "arju24", "count": 1, "uuid": 105790229 }, { "user": "epijim", "count": 1, "uuid": 2760096 }, { "user": "pharmaverse-bot", "count": 1, "uuid": 113703390 } ], "_userbio": { "uuid": 84541169, "type": "organization", "name": "pharmaverse" }, "_downloads": { "count": 312, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/admiralvaccine" }, "_devurl": "https://github.com/pharmaverse/admiralvaccine", "_pkgdown": "https://pharmaverse.github.io/admiralvaccine/", "_searchresults": 14, "_rbuild": "4.6.0", "_assets": [ "extra/admiralvaccine.html", "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", "manual.pdf" ], "_homeurl": "https://github.com/pharmaverse/admiralvaccine", "_realowner": "pharmaverse", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2023-06-27" }, { "version": "0.2.0", "date": "2024-01-08" }, { "version": "0.3.0", "date": "2024-08-29" }, { "version": "0.4.0", "date": "2025-01-31" }, { "version": "0.5.0", "date": "2025-09-18" }, { "version": "0.6.0", "date": "2026-01-23" } ], "_exports": [ "derive_diam_to_sev_records", "derive_fever_records", "derive_var_aval_adis", "derive_vars_crit", "derive_vars_event_flag", "derive_vars_max_flag", "derive_vars_merged_vaccine", "derive_vars_params", "derive_vars_vaxdt", "max_flag", "post_process_reacto" ], "_datasets": [ { "name": "admiralvaccine_adce", "title": "Clinical Events Analysis Dataset - Vaccine Specific", "object": "admiralvaccine_adce", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "STUDYID", "DOMAIN", "USUBJID", "CESEQ", "CELNKID", "CELNKGRP", "CETERM", "CEDECOD", "CELAT", "CELOC", "CECAT", "CESCAT", "CEPRESP", "CEOCCUR", "CESEV", "CEREL", "CEOUT", "EPOCH", "CEDTC", "CESTDTC", "CEENDTC", "CEDUR", "CETPT", "CETPTNUM", "CETPTREF", "CERFTDTC", "CEEVINTX", "CESTAT", "CEREASND", "TRTSDT", "TRTEDT", "ASTDT", "AENDT", "ASTDY", "AENDY", "APERIOD", "APERSDT", "APEREDT", "APERSTDY", "AREL", "ASEV", "ASEVN", "AOCC01FL", "ASEQ", "ADURN", "ADURU", "TRT01A", "TRT01P", "AGE", "AGEU", "SEX", "RACE", "COUNTRY", "ETHNIC", "SITEID", "SUBJID" ], "rows": 44, "table": true, "tojson": true }, { "name": "admiralvaccine_adface", "title": "Findings About Clinical Events Analysis Dataset - Vaccine Specific", "object": "admiralvaccine_adface", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "STUDYID", "USUBJID", "SUBJID", "SITEID", "AGE", "AGEU", "SEX", "RACE", "SAFFL", "ARM", "ARMCD", "ACTARM", "ACTARMCD", "TRTSDT", "TRTSDTM", "TRTEDT", "TRTEDTM", "FATEST", "FALNKID", "FALNKGRP", "FATESTCD", "PARAMCD", "PARAM", "PARAMN", "FAOBJ", "PARCAT1", "PARCAT2", "AVALC", "AVAL", "FASTAT", "FAREASND", "FAEVAL", "EPOCH", "ADT", "ADTM", "FAEVINTX", "ADY", "ATPT", "ATPTN", "ATPTREF", "EXDOSE", "EXTRT", "EXSTDTC", "EXENDTC", "TRTA", "TRTP", "APERIOD", "APERSDT", "APEREDT", "FAORRES", "TRT01P", "TRT02P", "TRT01A", "TRT02A", "VAX01DT", "VAX02DT", "EVENTFL", "EVENTDFL", "ANL01FL", "ANL02FL" ], "rows": 371, "table": true, "tojson": true }, { "name": "admiralvaccine_adis", "title": "Immunogenicity Specimen Assessments Analysis Dataset - Vaccine Specific", "object": "admiralvaccine_adis", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "STUDYID", "DOMAIN", "USUBJID", "ISSEQ", "ISTESTCD", "ISTEST", "ISCAT", "ISORRES", "ISORRESU", "ISSTRESC", "ISSTRESN", "ISSTRESU", "ISSTAT", "ISREASND", "ISNAM", "ISSPEC", "ISMETHOD", "ISBLFL", "ISLLOQ", "VISITNUM", "EPOCH", "ISDTC", "ISDY", "ISULOQ", "LOD", "AVISITN", "AVISIT", "ATPTN", "ATPT", "ATPTREF", "ADT", "RFSTDTC", "PPROTFL", "ADY", "PARAMCD", "PARAM", "PARAMN", "PARCAT1", "CUTOFF02", "CUTOFF03", "AVAL", "AVALU", "SERCAT1", "SERCAT1N", "DTYPE", "BASETYPE", "BASE", "ABLFL", "BASECAT1", "CHG", "R2BASE", "CRIT1FL", "CRIT1FN", "CRIT1", "APERIOD", "APERSDT", "APEREDT", "TRTA", "TRTP", "PPSRFL", "SUBJID", "RFENDTC", "RFXSTDTC", "RFXENDTC", "RFICDTC", "RFPENDTC", "DTHDTC", "DTHFL", "SITEID", "INVID", "INVNAM", "BRTHDTC", "AGE", "AGEU", "SEX", "RACE", "ETHNIC", "ARMCD", "ARM", "ACTARMCD", "ACTARM", "COUNTRY", "DMDTC", "DMDY", "TRT01P", "TRT02P", "TRT01A", "TRT02A", "TRTSDTM", "TRTEDTM", "TRTSDT", "TRTEDT", "SAFFL", "RACEGR1", "AGEGR1", "REGION1", "VAX01DT", "VAX02DT", "AP01SDT", "AP01EDT", "AP02SDT", "AP02EDT" ], "rows": 64, "table": true, "tojson": true }, { "name": "admiralvaccine_adsl", "title": "Subject Level Analysis Dataset - Vaccine Specific", "object": "admiralvaccine_adsl", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "STUDYID", "USUBJID", "SUBJID", "RFSTDTC", "RFENDTC", "RFXSTDTC", "RFXENDTC", "RFICDTC", "RFPENDTC", "DTHDTC", "DTHFL", "SITEID", "INVID", "INVNAM", "BRTHDTC", "AGE", "AGEU", "SEX", "RACE", "ETHNIC", "ARMCD", "ARM", "ACTARMCD", "ACTARM", "COUNTRY", "DMDTC", "DMDY", "TRT01P", "TRT02P", "TRT01A", "TRT02A", "TRTSDTM", "TRTEDTM", "TRTSDT", "TRTEDT", "SAFFL", "PPROTFL", "RACEGR1", "AGEGR1", "REGION1", "VAX01DT", "VAX02DT", "AP01SDT", "AP01EDT", "AP02SDT", "AP02EDT" ], "rows": 2, "table": true, "tojson": true } ], "_help": [ { "page": "admiralvaccine_adce", "title": "Clinical Events Analysis Dataset - Vaccine Specific", "concept": [ "dataset" ], "topics": [ "admiralvaccine_adce" ] }, { "page": "admiralvaccine_adface", "title": "Findings About Clinical Events Analysis Dataset - Vaccine Specific", "concept": [ "dataset" ], "topics": [ "admiralvaccine_adface" ] }, { "page": "admiralvaccine_adis", "title": "Immunogenicity Specimen Assessments Analysis Dataset - Vaccine Specific", "concept": [ "dataset" ], "topics": [ "admiralvaccine_adis" ] }, { "page": "admiralvaccine_adsl", "title": "Subject Level Analysis Dataset - Vaccine Specific", "concept": [ "dataset" ], "topics": [ "admiralvaccine_adsl" ] }, { "page": "derive_diam_to_sev_records", "title": "Creating Severity Records From Diameter", "concept": [ "der_rec" ], "topics": [ "derive_diam_to_sev_records" ] }, { "page": "derive_fever_records", "title": "Creating Fever Records", "concept": [ "der_rec" ], "topics": [ "derive_fever_records" ] }, { "page": "derive_var_aval_adis", "title": "Derive AVAL variable for ADIS ADaM domain", "concept": [ "der_var" ], "topics": [ "derive_var_aval_adis" ] }, { "page": "derive_vars_crit", "title": "Derive Analysis Criterion Evaluation Variables", "concept": [ "der_var" ], "topics": [ "derive_vars_crit" ] }, { "page": "derive_vars_event_flag", "title": "Adds Flag Variables for an Occurred Event .", "concept": [ "der_var" ], "topics": [ "derive_vars_event_flag" ] }, { "page": "derive_vars_max_flag", "title": "Creating ANLxxFL Variables To Flag The Maximum Records", "concept": [ "der_var" ], "topics": [ "derive_vars_max_flag" ] }, { "page": "derive_vars_merged_vaccine", "title": "Add New Variable(s) to the Input dataset Based on Variables from Another dataset", "concept": [ "der_var" ], "topics": [ "derive_vars_merged_vaccine" ] }, { "page": "derive_vars_params", "title": "Assigning Parameter Variables", "concept": [ "der_var" ], "topics": [ "derive_vars_params" ] }, { "page": "derive_vars_vaxdt", "title": "Add Vaccination Date Variables to the Output Dataset", "concept": [ "der_var" ], "topics": [ "derive_vars_vaxdt" ] }, { "page": "max_flag", "title": "Creating Maximum Flag", "concept": [ "utils_help" ], "topics": [ "max_flag" ] }, { "page": "post_process_reacto", "title": "Post processing function for ADFACE dataset", "concept": [ "other_advanced" ], "topics": [ "post_process_reacto" ] } ], "_pkglogo": "https://github.com/pharmaverse/admiralvaccine/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/pharmaverse/admiralvaccine/raw/HEAD/README.md", "_rundeps": [ "admiral", "admiraldev", "assertthat", "brew", "callr", "cli", "commonmark", "cpp11", "desc", "dplyr", "evaluate", "fs", "generics", "glue", "highr", "hms", "knitr", "lifecycle", "lubridate", "magrittr", "otel", "pillar", "pkgbuild", "pkgconfig", "pkgload", "processx", "ps", "purrr", "R6", "rlang", "roxygen2", "rprojroot", "stringi", "stringr", "tibble", "tidyr", "tidyselect", "timechange", "utf8", "vctrs", "withr", "xfun", "xml2", "yaml" ], "_score": 5.730459260045769, "_indexed": true, "_nocasepkg": "admiralvaccine", "_universes": [ "pharmaverse", "arju24" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.6.0.9001", "date": "2026-06-09T11:18:05.000Z", "distro": "noble", "commit": "7c4a46c807cea71d95ea6754477df239c99e0877", "fileid": "9577e710b3fa99abfaab7e60d9bcca55d6fe381f16bbeba40c49eefd79f4695d", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/27202214299" }, { "r": "4.6.0", "os": "linux", "version": "0.6.0.9001", "date": "2026-06-09T11:18:44.000Z", "distro": "noble", "commit": "7c4a46c807cea71d95ea6754477df239c99e0877", "fileid": "8ecd96fdf66448ec990fcf01bb0cad1548e9f3745f9c14281570936a272b5f11", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/27202214299" }, { "r": "4.5.3", "os": "mac", "version": "0.6.0.9001", "date": "2026-06-09T11:18:18.000Z", "commit": "7c4a46c807cea71d95ea6754477df239c99e0877", "fileid": "834e1a5222c24c55e2eb6fa84599a4501415c00d341064bad1a31e3a7df44fa8", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/27202214299" }, { "r": "4.6.0", "os": "mac", "version": "0.6.0.9001", "date": "2026-06-09T11:19:00.000Z", "commit": "7c4a46c807cea71d95ea6754477df239c99e0877", "fileid": "3079ce01f42076a594499a409c988a2ee799d0c554ee9fb3b03600c603b8f75d", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/27202214299" }, { "r": "4.6.0", "os": "wasm", "version": "0.6.0.9001", "date": "2026-06-09T11:18:19.000Z", "commit": "7c4a46c807cea71d95ea6754477df239c99e0877", "fileid": "ebb6418f028f49f128417b623a95f50278d2a35b7f616bb371ac5f5e580a947b", "status": "success", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/27202214299" }, { "r": "4.7.0", "os": "win", "version": "0.6.0.9001", "date": "2026-06-09T11:17:07.000Z", "commit": "7c4a46c807cea71d95ea6754477df239c99e0877", "fileid": "25e4daa727c5e231c193c8a689c5d5cf967d5f1287295bae69c778b99244de88", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/27202214299" }, { "r": "4.5.3", "os": "win", "version": "0.6.0.9001", "date": "2026-06-09T11:17:16.000Z", "commit": "7c4a46c807cea71d95ea6754477df239c99e0877", "fileid": "06c941783c5482cc2f18ff151b6eb021e299c344b0b82d2a80775683933eedfd", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/27202214299" }, { "r": "4.6.0", "os": "win", "version": "0.6.0.9001", "date": "2026-06-09T11:17:23.000Z", "commit": "7c4a46c807cea71d95ea6754477df239c99e0877", "fileid": "29f4ddbf2da64c8d8af63bb1be6236882be8401b79765d90d3ca9ac09ea1f1f5", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/27202214299" } ] }