{ "_id": "6aec76272e87f76f20ad3e36", "Type": "Package", "Package": "admiralophtha", "Title": "ADaM in R Asset Library - Ophthalmology", "Version": "1.5.0.9005", "Authors@R": "c(\nperson(\"Edoardo\", \"Mancini\", , \"edoardo.mancini@roche.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0006-4899-8641\")),\nperson(\"Yuki\", \"Matsunaga\", , \"yuki.matsunaga@novartis.com\", role = \"aut\"),\nperson(\"Pavankumar\", \"Bhagat\", , \"Pavankumar.Bhagat@boehringer-ingelheim.com\", role = \"aut\"),\nperson(\"F. Hoffmann-La Roche AG\", role = c(\"cph\", \"fnd\")),\nperson(\"Novartis AG\", role = c(\"cph\", \"fnd\"))\n)", "Description": "Aids the programming of Clinical Data Standards\nInterchange Consortium (CDISC) compliant Ophthalmology Analysis\nData Model (ADaM) datasets in R. ADaM datasets are a mandatory\npart of any New Drug or Biologics License Application submitted\nto the United States Food and Drug Administration (FDA).\nAnalysis derivations are implemented in accordance with the\n\"Analysis Data Model Implementation Guide\" (CDISC Analysis Data\nModel Team, 2021,\n).", "License": "Apache License (>= 2)", "URL": "https://pharmaverse.github.io/admiralophtha/,\nhttps://github.com/pharmaverse/admiralophtha/", "BugReports": "https://github.com/pharmaverse/admiralophtha/issues/", "VignetteBuilder": "knitr", "Config/roxygen2/markdown": "TRUE", "Config/roxygen2/version": "8.1.1", "Config/testthat/edition": "3", "Encoding": "UTF-8", "Language": "en-US", "LazyData": "true", "Roxygen": "list(markdown = TRUE, roclets = c(\"collate\", \"namespace\",\n\"admiraldev::rdx_roclet\"))", "Config/pak/sysreqs": "cmake make libicu-dev libuv1-dev libxml2-dev", "Repository": "https://pharmaverse.r-universe.dev", "Date/Publication": "2026-10-23 09:23:27 UTC", "RemoteUrl": "https://github.com/pharmaverse/admiralophtha", "RemoteRef": "HEAD", "RemoteSha": "c83b55860ea3f293b12ce7f0370949022d3f09aa", "NeedsCompilation": "no", "Packaged": { "Date": "2026-11-05 11:50:01 UTC", "User": "root" }, "Author": "Edoardo Mancini [aut, cre] (ORCID:\n),\nYuki Matsunaga [aut],\nPavankumar Bhagat [aut],\nF. Hoffmann-La Roche AG [cph, fnd],\nNovartis AG [cph, fnd]", "Maintainer": "Edoardo Mancini ", "_user": "pharmaverse", "_type": "src", "_file": "admiralophtha_1.5.0.9005.tar.gz", "_fileid": "https://r2.ropensci.org/fcdeda030b871c2c657f7b147e0884718180179feee8b6b7334ba937d4b46509", "_filesize": 1050048, "_sha256": "fcdeda030b871c2c657f7b147e0884718180179feee8b6b7334ba937d4b46509", "_expires": "2027-02-13T12:27:17.000Z", "_created": "2026-11-05T11:50:01.000Z", "_published": "2026-11-05T12:27:19.403Z", "_upstream": "https://github.com/pharmaverse/admiralophtha", "_status": "success", "_maintainer": { "name": "Edoardo Mancini", "email": "edoardo.mancini@roche.com", "login": "manciniedoardo", "description": "", "uuid": 53403957, "orcid": "0009-0006-4899-8641" }, "_jobs": [ { "job": 127227430529, "time": 149, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "13411299334" }, { "job": 127227430209, "time": 177, "config": "linux-release-x86_64", "r": "4.6.2", "check": "OK", "artifact": "13412042673" }, { "job": 127227430278, "time": 150, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "13414885868" }, { "job": 127227430574, "time": 112, "config": "macos-release-arm64", "r": "4.6.2", "check": "OK", "artifact": "13414127808" }, { "job": 127225691467, "time": 234, "config": "source", "r": "4.6.2", "check": "OK", "artifact": "13412047525" }, { "job": 127227430296, "time": 120, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "13411459048" }, { "job": 127227430187, "time": 136, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "13412855828" }, { "job": 127227430397, "time": 104, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "13412231913" }, { "job": 127227430326, "time": 104, "config": "windows-release-x86_64", "r": "4.6.2", "check": "OK", "artifact": "13412661289" } ], "_buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/42021620166", "_commit": { "id": "c83b55860ea3f293b12ce7f0370949022d3f09aa", "author": "manciniedoardo <53403957+manciniedoardo@users.noreply.github.com>", "committer": "github-actions <41898282+github-actions[bot]@users.noreply.github.com>", "message": "[skip actions] Bump version to 1.5.0.9005\n", "time": 1792747407 }, "_distro": "resolute", "_host": "GitHub-Actions", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1", "role": "Depends" }, { "package": "admiral", "version": ">= 1.5.0", "role": "Imports" }, { "package": "admiraldev", "version": ">= 1.5.0", "role": "Imports" }, { "package": "dplyr", "version": ">= 1.1.1", "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": ">= 1.1.0", "role": "Imports" }, { "package": "devtools", "role": "Suggests" }, { "package": "diffdf", "role": "Suggests" }, { "package": "DT", "role": "Suggests" }, { "package": "here", "role": "Suggests" }, { "package": "htmltools", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "lintr", "role": "Suggests" }, { "package": "methods", "role": "Suggests" }, { "package": "miniUI", "role": "Suggests" }, { "package": "pharmaversesdtm", "version": ">= 1.3.0", "role": "Suggests" }, { "package": "pkgdown", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "roxygen2", "role": "Suggests" }, { "package": "spelling", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "tibble", "role": "Suggests" }, { "package": "usethis", "role": "Suggests" }, { "package": "withr", "role": "Suggests" } ], "_owner": "pharmaverse", "_selfowned": true, "_usedby": 1, "_updates": [ { "week": "2025-47", "n": 4 }, { "week": "2025-51", "n": 2 }, { "week": "2026-02", "n": 2 }, { "week": "2026-03", "n": 1 }, { "week": "2026-10", "n": 2 }, { "week": "2026-24", "n": 6 }, { "week": "2026-25", "n": 8 }, { "week": "2026-37", "n": 2 }, { "week": "2026-40", "n": 2 }, { "week": "2026-43", "n": 2 } ], "_tags": [ { "name": "v1.4.0", "date": "2026-01-16" }, { "name": "v1.5.0", "date": "2026-06-15" } ], "_stars": 22, "_contributors": [ { "user": "manciniedoardo", "count": 388, "uuid": 53403957 }, { "user": "palmenl", "count": 47, "uuid": 53814779 }, { "user": "linacrer", "count": 26, "uuid": 119299671 }, { "user": "galachad", "count": 25, "uuid": 4296390 }, { "user": "dgrassellyb", "count": 17, "uuid": 56442075 }, { "user": "millerg23", "count": 15, "uuid": 80953007 }, { "user": "barnett11", "count": 11, "uuid": 87320028 }, { "user": "ukey1025", "count": 8, "uuid": 110437189 }, { "user": "jiegaoo", "count": 8, "uuid": 108792720 }, { "user": "rossfarrugia", "count": 7, "uuid": 82581364 }, { "user": "cicdguy", "count": 6, "uuid": 26552821 }, { "user": "nandinirthampi", "count": 5, "uuid": 117201596 }, { "user": "sonalijain17", "count": 4, "uuid": 40440391 }, { "user": "wholmes57", "count": 4, "uuid": 107698550 }, { "user": "pharmaverse-bot", "count": 3, "uuid": 113703390 }, { "user": "steventing12", "count": 3, "uuid": 171026287 }, { "user": "pavan-bhagat", "count": 2, "uuid": 280777574 }, { "user": "michaelchirico", "count": 2, "uuid": 7606389 }, { "user": "epijim", "count": 1, "uuid": 2760096 }, { "user": "ritika-aggarr", "count": 1, "uuid": 54138167 }, { "user": "sanjayshetty01", "count": 1, "uuid": 61221236 }, { "user": "arkadiuszbeer", "count": 1, "uuid": 86738093 } ], "_userbio": { "uuid": 84541169, "type": "organization", "name": "pharmaverse", "followers": 646 }, "_downloads": { "count": 539, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/admiralophtha" }, "_devurl": "https://github.com/pharmaverse/admiralophtha", "_pkgdown": "https://pharmaverse.github.io/admiralophtha/", "_searchresults": 18, "_rbuild": "4.6.2", "_assets": [ "extra/admiralophtha.html", "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md" ], "_homeurl": "https://github.com/pharmaverse/admiralophtha", "_realowner": "pharmaverse", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2023-03-14" }, { "version": "0.2.0", "date": "2023-06-12" }, { "version": "0.3.0", "date": "2023-09-18" }, { "version": "1.0.0", "date": "2023-12-18" }, { "version": "1.1.0", "date": "2024-06-19" }, { "version": "1.2.0", "date": "2025-01-17" }, { "version": "1.3.0", "date": "2025-07-04" }, { "version": "1.4.0", "date": "2026-01-16" }, { "version": "1.5.0", "date": "2026-06-12" } ], "_exports": [ "convert_etdrs_to_logmar", "convert_logmar_to_etdrs", "derive_var_afeye", "derive_var_bcvacritxfl", "derive_var_studyeye" ], "_datasets": [ { "name": "admiralophtha_adbcva", "title": "Best Corrected Visual Acuity Analysis Dataset", "object": "admiralophtha_adbcva", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "STUDYID", "DOMAIN", "USUBJID", "OESEQ", "OECAT", "OESCAT", "OEDTC", "VISIT", "VISITNUM", "VISITDY", "OESTRESN", "OESTRESC", "OEORRES", "OETEST", "OETESTCD", "OETSTDTL", "OELAT", "OELOC", "OEDY", "OEMETHOD", "OEORRESU", "OESTRESU", "OESTAT", "OETPT", "OETPTNUM", "TRTSDT", "TRTEDT", "TRT01A", "TRT01P", "STUDYEYE", "AVAL", "AVALU", "DTYPE", "AFEYE", "PARAM", "PARAMCD", "AVALC", "ADT", "ADY", "ATPTN", "ATPT", "AVISIT", "AVISITN", "BASETYPE", "ONTRTFL", "ABLFL", "ANL01FL", "ANL02FL", "WORS01FL", "BASE", "BASEC", "CHG", "PCHG", "ASEQ", "SUBJID", "RFSTDTC", "RFENDTC", "RFXSTDTC", "RFXENDTC", "RFICDTC", "RFPENDTC", "DTHDTC", "DTHFL", "SITEID", "AGE", "AGEU", "SEX", "RACE", "ETHNIC", "ARMCD", "ARM", "ACTARMCD", "ACTARM", "COUNTRY", "DMDTC", "DMDY", "TRTSDTM", "TRTSTMF", "TRTEDTM", "TRTETMF", "TRTDURD", "SCRFDT", "EOSDT", "EOSSTT", "FRVDT", "RANDDT", "DTHDT", "DTHADY", "LDDTHELD", "LSTALVDT", "AGEGR1", "SAFFL", "RACEGR1", "REGION1", "LDDTHGR1", "DTH30FL", "DTHA30FL", "DTHB30FL", "CRIT1", "CRIT1FL", "CRIT2", "CRIT2FL", "CRIT3", "CRIT3FL", "CRIT4", "CRIT4FL", "CRIT5", "CRIT5FL", "CRIT6", "CRIT6FL", "CRIT7", "CRIT7FL", "CRIT8", "CRIT8FL", "AVALCA1N", "AVALCAT1" ], "rows": 7672, "table": true, "tojson": true }, { "name": "admiralophtha_adga", "title": "Geographic Atrophy Analysis Dataset", "object": "admiralophtha_adga", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "STUDYID", "DOMAIN", "USUBJID", "OESEQ", "OECAT", "OESCAT", "OEDTC", "VISIT", "VISITNUM", "VISITDY", "OESTRESN", "OESTRESC", "OEORRES", "OETEST", "OETESTCD", "OETSTDTL", "OELAT", "OELOC", "OEDY", "OEMETHOD", "OEORRESU", "OESTRESU", "OESTAT", "OETPT", "OETPTNUM", "TRTSDT", "TRTEDT", "TRT01A", "TRT01P", "STUDYEYE", "AVAL", "AVALC", "AVALU", "DTYPE", "AFEYE", "PARAM", "PARAMCD", "PARAMN", "ADT", "ADY", "ATPTN", "ATPT", "AVISIT", "AVISITN", "BASETYPE", "ONTRTFL", "ABLFL", "ANL01FL", "ANL02FL", "WORS01FL", "BASE", "BASEC", "CHG", "PCHG", "ASEQ", "SUBJID", "RFSTDTC", "RFENDTC", "RFXSTDTC", "RFXENDTC", "RFICDTC", "RFPENDTC", "DTHDTC", "DTHFL", "SITEID", "AGE", "AGEU", "SEX", "RACE", "ETHNIC", "ARMCD", "ARM", "ACTARMCD", "ACTARM", "COUNTRY", "DMDTC", "DMDY", "TRTSDTM", "TRTSTMF", "TRTEDTM", "TRTETMF", "TRTDURD", "SCRFDT", "EOSDT", "EOSSTT", "FRVDT", "RANDDT", "DTHDT", "DTHDTF", "DTHADY", "LDDTHELD", "DTHCAUS", "DTHDOM", "DTHCGR1", "LSTALVDT", "SAFFL", "RACEGR1", "AGEGR1", "REGION1", "LDDTHGR1", "DTH30FL", "DTHA30FL", "DTHB30FL" ], "rows": 11508, "table": true, "tojson": true }, { "name": "admiralophtha_adoe", "title": "Ophthalmology Exam Analysis Dataset", "object": "admiralophtha_adoe", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "STUDYID", "DOMAIN", "USUBJID", "OESEQ", "OECAT", "OESCAT", "OEDTC", "VISIT", "VISITNUM", "VISITDY", "OESTRESN", "OESTRESC", "OEORRES", "OETEST", "OETESTCD", "OETSTDTL", "OELAT", "OELOC", "OEDY", "OEMETHOD", "OEORRESU", "OESTRESU", "OESTAT", "OETPT", "OETPTNUM", "TRTSDT", "TRTEDT", "TRT01A", "TRT01P", "STUDYEYE", "AVAL", "AVALC", "AVALU", "DTYPE", "AFEYE", "PARAM", "PARAMCD", "ADT", "ADY", "ATPTN", "ATPT", "AVISIT", "AVISITN", "BASETYPE", "PARAMN", "ONTRTFL", "ABLFL", "ANL01FL", "ANL02FL", "WORS01FL", "BASE", "BASEC", "CHG", "PCHG", "ASEQ", "SUBJID", "RFSTDTC", "RFENDTC", "RFXSTDTC", "RFXENDTC", "RFICDTC", "RFPENDTC", "DTHDTC", "DTHFL", "SITEID", "AGE", "AGEU", "SEX", "RACE", "ETHNIC", "ARMCD", "ARM", "ACTARMCD", "ACTARM", "COUNTRY", "DMDTC", "DMDY", "TRTSDTM", "TRTSTMF", "TRTEDTM", "TRTETMF", "TRTDURD", "SCRFDT", "EOSDT", "EOSSTT", "FRVDT", "RANDDT", "DTHDT", "DTHDTF", "DTHADY", "LDDTHELD", "DTHCAUS", "DTHDOM", "DTHCGR1", "LSTALVDT", "SAFFL", "RACEGR1", "AGEGR1", "REGION1", "LDDTHGR1", "DTH30FL", "DTHA30FL", "DTHB30FL" ], "rows": 19136, "table": true, "tojson": true }, { "name": "admiralophtha_advfq", "title": "Visual Function Questionnaire Analysis Dataset", "object": "admiralophtha_advfq", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "STUDYID", "DOMAIN", "USUBJID", "QSSEQ", "QSTESTCD", "QSTEST", "QSCAT", "QSSCAT", "QSORRES", "QSORRESU", "QSSTRESC", "QSSTRESN", "QSSTRESU", "QSBLFL", "QSDRVFL", "VISITNUM", "VISIT", "VISITDY", "QSDTC", "QSDY", "TRTSDT", "TRTEDT", "TRT01A", "TRT01P", "ADT", "ADY", "PARAMCD", "AVAL", "AVALC", "BASETYPE", "AVISIT", "AVISITN", "PARAM", "PARCAT1", "PARCAT2", "PARCAT3", "PARCAT4", "PARCAT5", "ONTRTFL", "ABLFL", "BASE", "CHG", "PCHG", "ANL01FL", "ASEQ", "SUBJID", "RFSTDTC", "RFENDTC", "RFXSTDTC", "RFXENDTC", "RFICDTC", "RFPENDTC", "DTHDTC", "DTHFL", "SITEID", "AGE", "AGEU", "SEX", "RACE", "ETHNIC", "ARMCD", "ARM", "ACTARMCD", "ACTARM", "COUNTRY", "DMDTC", "DMDY", "TRTSDTM", "TRTSTMF", "TRTEDTM", "TRTETMF", "TRTDURD", "SCRFDT", "EOSDT", "EOSSTT", "FRVDT", "RANDDT", "DTHDT", "DTHDTF", "DTHADY", "LDDTHELD", "DTHCAUS", "DTHDOM", "DTHCGR1", "LSTALVDT", "SAFFL", "RACEGR1", "AGEGR1", "REGION1", "LDDTHGR1", "DTH30FL", "DTHA30FL", "DTHB30FL" ], "rows": 972, "table": true, "tojson": true } ], "_help": [ { "page": "admiralophtha_adbcva", "title": "Best Corrected Visual Acuity Analysis Dataset", "concept": [ "datasets" ], "topics": [ "admiralophtha_adbcva" ] }, { "page": "admiralophtha_adga", "title": "Geographic Atrophy Analysis Dataset", "concept": [ "datasets" ], "topics": [ "admiralophtha_adga" ] }, { "page": "admiralophtha_adoe", "title": "Ophthalmology Exam Analysis Dataset", "concept": [ "datasets" ], "topics": [ "admiralophtha_adoe" ] }, { "page": "admiralophtha_advfq", "title": "Visual Function Questionnaire Analysis Dataset", "concept": [ "datasets" ], "topics": [ "admiralophtha_advfq" ] }, { "page": "convert_etdrs_to_logmar", "title": "ETDRS -> LogMAR conversion", "topics": [ "convert_etdrs_to_logmar" ] }, { "page": "convert_logmar_to_etdrs", "title": "LogMAR -> ETDRS conversion", "topics": [ "convert_logmar_to_etdrs" ] }, { "page": "derive_var_afeye", "title": "Derive Affected Eye", "topics": [ "derive_var_afeye" ] }, { "page": "derive_var_bcvacritxfl", "title": "Adds 'CRITx'/'CRITxFL' pairs to BCVA dataset", "concept": [ "deprecated" ], "topics": [ "derive_var_bcvacritxfl" ] }, { "page": "derive_var_studyeye", "title": "Derive Study Eye", "topics": [ "derive_var_studyeye" ] } ], "_pkglogo": "https://github.com/pharmaverse/admiralophtha/raw/HEAD/man/figures/logo.png", "_readme": "https://github.com/pharmaverse/admiralophtha/raw/HEAD/README.md", "_rundeps": [ "admiral", "admiraldev", "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", "rdtools", "rlang", "roxygen2", "rprojroot", "stringi", "stringr", "tibble", "tidyr", "tidyselect", "timechange", "utf8", "vctrs", "withr", "xfun", "xml2", "yaml" ], "_vignettes": [ { "source": "adbcva.Rmd", "filename": "adbcva.html", "title": "Creating ADBCVA", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Dataset Contents", "Required Packages", "Programming Workflow", "Initial set up of ADBCVA", "Deriving LogMAR Score Parameters", "Further Derivations of Standard BDS Variables", "Deriving Analysis Value Categories for Snellen Scores", "Deriving Criterion Flags for BCVA Change", "Additional Notes", "Example Script" ], "created": "2023-03-13 14:45:23", "modified": "2026-10-23 09:22:27", "commits": 14 }, { "source": "adga.Rmd", "filename": "adga.html", "title": "Creating ADGA", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Dataset Contents", "Acronyms", "Required Packages", "Programming Workflow", "Initial set up of ADGA", "Creating Square Root Transformed GA Area measured by FAF derived parameter", "Assigning AVISIT/AVISITN", "Deriving Worst Post-Baseline Assessment Flag", "Further Derivations of Standard BDS Variables", "Example Script" ], "created": "2026-10-23 09:22:27", "modified": "2026-10-23 09:22:27", "commits": 1 }, { "source": "adoe.Rmd", "filename": "adoe.html", "title": "Creating ADOE", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Dataset Contents", "Required Packages", "Programming Workflow", "Initial set up of ADOE", "Assigning PARAM/PARAMCD and AVISIT/AVISITN", "Creating IOP pre to post-dose difference derived parameter", "Further Derivations of Standard BDS Variables", "Example Script" ], "created": "2023-03-13 14:45:23", "modified": "2026-06-11 13:52:51", "commits": 10 }, { "source": "advfq.Rmd", "filename": "advfq.html", "title": "Creating ADVFQ", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Dataset Contents", "Required Packages", "Programming Workflow", "Reading In Data and Setting Up Lookup Tables", "Original Items (param_lookup_original)", "Transformed Records (param_lookup_transformed)", "Composite Records (param_lookup_composite)", "Initial Set Up and Mapping the Raw Records", "Deriving the Transformed Parameters", "Deriving the Composite Parameters", "Composite Scores by Category", "Overall Composite Scores", "Further Derivations of Standard BDS Variables", "Example Script" ], "created": "2023-03-13 14:45:23", "modified": "2026-06-11 13:52:51", "commits": 11 }, { "source": "admiralophtha.Rmd", "filename": "admiralophtha.html", "title": "Get Started", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "What does {admiralophtha} offer?", "Starting a Script", "Support" ], "created": "2023-03-13 14:45:23", "modified": "2026-10-23 09:22:27", "commits": 7 }, { "source": "standards.Rmd", "filename": "standards.html", "title": "Ophthalmology Standards", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Dataset Subdivision", "Criterion Flags", "Affected Eye Derivation", "Differences between pre and post-dose IOP" ], "created": "2023-03-13 14:45:23", "modified": "2026-10-23 09:22:27", "commits": 6 } ], "_score": 8.874156990098758, "_indexed": true, "_nocasepkg": "admiralophtha", "_universes": [ "pharmaverse", "manciniedoardo" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.5.0.9005", "date": "2026-11-05T11:52:20.000Z", "distro": "resolute", "commit": "c83b55860ea3f293b12ce7f0370949022d3f09aa", "fileid": "https://r2.ropensci.org/aedbed2649c142337941d5d48834e47b46eeafc2d1be87ad653a9f82ea4a9f1e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/42021620166" }, { "r": "4.6.2", "os": "linux", "version": "1.5.0.9005", "date": "2026-11-05T11:52:46.000Z", "distro": "resolute", "commit": "c83b55860ea3f293b12ce7f0370949022d3f09aa", "fileid": "https://r2.ropensci.org/18cc2bc0c6eeccf35743e289ebdaa535b90b512e5d3b6e593f26b9cc3de39447", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/42021620166" }, { "r": "4.5.3", "os": "mac", "version": "1.5.0.9005", "date": "2026-11-05T12:26:16.000Z", "commit": "c83b55860ea3f293b12ce7f0370949022d3f09aa", "fileid": "https://r2.ropensci.org/19ab3157025223c602f899b8563df3254b31aa201299b4c70a7b99f7e2176ca9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/42021620166" }, { "r": "4.6.2", "os": "mac", "version": "1.5.0.9005", "date": "2026-11-05T12:26:09.000Z", "commit": "c83b55860ea3f293b12ce7f0370949022d3f09aa", "fileid": "https://r2.ropensci.org/ac153a939f40e5e463c517259fe37536de9c4bb116df47af37fbb0a7e0a9d45d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/42021620166" }, { "r": "4.6.0", "os": "wasm", "version": "1.5.0.9005", "date": "2026-11-05T11:52:19.000Z", "commit": "c83b55860ea3f293b12ce7f0370949022d3f09aa", "fileid": "https://r2.ropensci.org/2aafe06f51e7ad8134786e8d5fc511254d0df4095bd5af085a32e8e1ee627ed1", "status": "success", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/42021620166" }, { "r": "4.7.0", "os": "win", "version": "1.5.0.9005", "date": "2026-11-05T11:51:48.000Z", "commit": "c83b55860ea3f293b12ce7f0370949022d3f09aa", "fileid": "https://r2.ropensci.org/5774a993713e636ce4fe65e8efa515d47b0392348c5677433aa7dedc0bcb8ef7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/42021620166" }, { "r": "4.5.3", "os": "win", "version": "1.5.0.9005", "date": "2026-11-05T11:51:23.000Z", "commit": "c83b55860ea3f293b12ce7f0370949022d3f09aa", "fileid": "https://r2.ropensci.org/57b109a80d8fb579d899d9fdaf7c2ce1cbc39ec40c1ca7f36fb216151f0b27db", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/42021620166" }, { "r": "4.6.2", "os": "win", "version": "1.5.0.9005", "date": "2026-11-05T11:51:24.000Z", "commit": "c83b55860ea3f293b12ce7f0370949022d3f09aa", "fileid": "https://r2.ropensci.org/a1def303cd0c1817494551bc4594350c0b7cd1372e6550816e52439418824c80", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/pharmaverse/actions/runs/42021620166" } ] }