{ "_id": "6a1fe82bb401979e7343d7d9", "Package": "dataset", "Title": "Create Data Frames for Exchange and Reuse", "Version": "0.4.5", "Date": "2026-06-03", "Language": "en-GB", "Authors@R": "c(person(given = \"Daniel\", family = \"Antal\",\nemail = \"daniel.antal@dataobservatory.eu\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0001-7513-6760\")\n),\nperson(given = \"Marcelo\", family = \"Perlin\",\nrole = c(\"rev\"),\ncomment = c(ORCID = \"0000-0002-9839-4268\")\n),\nperson(given = \"Anna Márta\", family = \"Mester\",\nrole = c(\"rev\"),\ncomment = c(ORCID = \"0009-0008-2274-8163\")\n),\nperson(given = \"Mauro\", family = \"Lepore\",\nrole = c(\"rev\"),\ncomment = c(ORCID = \"0000-0002-1986-7988\")\n)\n)", "Maintainer": "Daniel Antal ", "Description": "The 'dataset' package extends tidy data frames with\nmachine-readable metadata, semantic definitions, and provenance\ninformation. It supports incremental semantic stabilization,\ninteroperable dataset exchange, and FAIR-oriented publication\nworkflows by preserving contextual metadata directly within R\nobjects. The package facilitates the creation, exchange, reuse,\nand RDF serialization of datasets in line with ISO and W3C\nstandards.", "License": "GPL (>= 3)", "Encoding": "UTF-8", "URL": "https://docs.ropensci.org/dataset/,\nhttps://github.com/ropensci/dataset,\nhttps://dataset.dataobservatory.eu", "BugReports": "https://github.com/ropensci/dataset/issues", "Roxygen": "list(markdown = TRUE)", "LazyData": "true", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.0.0", "Config/pak/sysreqs": "make libicu-dev libx11-dev zlib1g-dev", "Repository": "https://ropensci.r-universe.dev", "Date/Publication": "2026-06-03 06:49:34 UTC", "RemoteUrl": "https://github.com/ropensci/dataset", "RemoteRef": "main", "RemoteSha": "1dabc465edabb0cf3e8bcd2887730439be31e040", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-03 08:33:28 UTC", "User": "root" }, "Author": "Daniel Antal [aut, cre] (ORCID:\n),\nMarcelo Perlin [rev] (ORCID: ),\nAnna Márta Mester [rev] (ORCID:\n),\nMauro Lepore [rev] (ORCID: )", "MD5sum": "e3afa2d06368ff8ea9e85595b06fb757", "_user": "ropensci", "_type": "src", "_file": "dataset_0.4.5.tar.gz", "_fileid": "707ced7434ffe11667afcf002e94016e0c9a1d9808d614bc9269fd43801fbf6c", "_filesize": 1074204, "_sha256": "707ced7434ffe11667afcf002e94016e0c9a1d9808d614bc9269fd43801fbf6c", "_created": "2026-06-03T08:33:28.000Z", "_published": "2026-06-03T08:39:07.691Z", "_distro": "noble", "_jobs": [ { "job": 79253849222, "time": 155, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7379623499" }, { "job": 79253849225, "time": 153, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7379623112" }, { "job": 79253849202, "time": 95, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7379628868" }, { "job": 79253849254, "time": 100, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7379668175" }, { "job": 79253258746, "time": 221, "config": "pkgdown", "r": "4.6.0", "check": "OK", "artifact": "7379572997" }, { "job": 79253258594, "time": 208, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7379568779" }, { "job": 79253849264, "time": 121, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7379611659" }, { "job": 79253849300, "time": 117, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7379610882" }, { "job": 79253849263, "time": 90, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7379600996" }, { "job": 79253849338, "time": 144, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7379620129" } ], "_buildurl": "https://github.com/r-universe/ropensci/actions/runs/26873100814", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/ropensci/dataset", "_commit": { "id": "1dabc465edabb0cf3e8bcd2887730439be31e040", "author": "Daniel Antal ", "committer": "Daniel Antal ", "message": "No separate documentation entry for is.prelabelled()\n", "time": 1780469374 }, "_maintainer": { "name": "Daniel Antal", "email": "daniel.antal@dataobservatory.eu", "orcid": "0000-0001-7513-6760" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5", "role": "Depends" }, { "package": "assertthat", "role": "Imports" }, { "package": "haven", "role": "Imports" }, { "package": "ISOcodes", "role": "Imports" }, { "package": "labelled", "role": "Imports" }, { "package": "pillar", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "tibble", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "vctrs", "role": "Imports" }, { "package": "dplyr", "role": "Suggests" }, { "package": "jsonld", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rdflib", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "spelling", "role": "Suggests" }, { "package": "tidyr", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "ropensci", "_selfowned": true, "_usedby": 1, "_updates": [ { "week": "2025-30", "n": 22 }, { "week": "2025-32", "n": 60 }, { "week": "2025-33", "n": 4 }, { "week": "2025-34", "n": 24 }, { "week": "2025-35", "n": 14 }, { "week": "2025-36", "n": 1 }, { "week": "2025-41", "n": 2 }, { "week": "2025-46", "n": 18 }, { "week": "2026-03", "n": 4 }, { "week": "2026-20", "n": 2 }, { "week": "2026-21", "n": 8 }, { "week": "2026-23", "n": 3 } ], "_tags": [ { "name": "0.4.0", "date": "2025-08-25" }, { "name": "0.4.1", "date": "2025-11-16" }, { "name": "0.4.2", "date": "2026-01-13" }, { "name": "0.4.4", "date": "2026-05-18" } ], "_topics": [ "dataset", "metadata-management" ], "_stars": 23, "_contributors": [ { "user": "antaldaniel", "count": 345, "uuid": 11824944 }, { "user": "maurolepore", "count": 3, "uuid": 5856545 }, { "user": "maelle", "count": 2, "uuid": 8360597 }, { "user": "mesteranna", "count": 1, "uuid": 161113132 } ], "_userbio": { "uuid": 1200269, "type": "organization", "name": "rOpenSci", "description": "Tools and R Packages for Open Science" }, "_downloads": { "count": 596, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/dataset" }, "_devurl": "https://github.com/ropensci/dataset", "_pkgdown": "https://docs.ropensci.org/dataset/", "_searchresults": 114, "_metadata": { "review": { "id": 681, "status": "reviewed", "version": "0.3.4002", "organization": "rOpenSci Software Review", "url": "https://github.com/ropensci/software-review/issues/681" }, "ropensci_category": "data-publication" }, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/dataset.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/ropensci/dataset", "_realowner": "ropensci", "_cranurl": true, "_releases": [ { "version": "0.1.9", "date": "2022-12-02" }, { "version": "0.2.0", "date": "2022-12-15" }, { "version": "0.2.1", "date": "2023-03-18" }, { "version": "0.2.7", "date": "2023-12-08" }, { "version": "0.3.0", "date": "2024-01-09" }, { "version": "0.3.1", "date": "2024-01-27" }, { "version": "0.3.4", "date": "2024-12-23" }, { "version": "0.3.9", "date": "2025-05-27" }, { "version": "0.4.0", "date": "2025-08-26" }, { "version": "0.4.1", "date": "2025-11-16" }, { "version": "0.4.4", "date": "2026-05-18" } ], "_exports": [ "as_character", "as_datacite", "as_dataset_df", "as_dublincore", "as_factor", "as_logical", "as_numeric", "as_tibble", "as_value_key", "as.tibble.dataset_df", "bibrecord", "bind_defined_rows", "contributor", "contributor<-", "creator", "creator<-", "datacite", "dataset_df", "dataset_format", "dataset_format<-", "dataset_title", "dataset_title<-", "dataset_to_triples", "defined", "describe", "description", "description<-", "dublincore", "geolocation", "geolocation<-", "get_bibentry", "get_namespace_attribute", "get_unit_attribute", "get_variable_concepts", "get_variable_namespaces", "get_variable_units", "id_to_column", "identifier", "identifier<-", "invert_value_key", "is_dataset_df", "is.dataset_df", "is.defined", "is.dublincore", "is.prelabelled", "is.related", "label_attribute", "language", "language<-", "n_triple", "n_triples", "namespace_attribute", "namespace_attribute<-", "prelabel", "provenance", "provenance<-", "publication_year", "publication_year<-", "publisher", "publisher<-", "related_create", "related_item", "related_item<-", "relation", "relation<-", "rights", "rights<-", "set_bibentry<-", "set_namespace_attribute", "set_unit_attribute", "strip_defined", "subject", "subject_create", "subject<-", "unit_attribute", "unit_attribute<-", "var_concept", "var_concept<-", "var_label", "var_label<-", "var_labels", "var_labels<-", "var_namespace", "var_namespace<-", "var_unit", "var_unit<-", "xsd_convert" ], "_datasets": [ { "name": "gdp", "title": "A Small GDP Dataset", "object": "gdp", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "geo", "year", "gdp", "unit", "freq" ], "rows": 10, "table": true, "tojson": true }, { "name": "orange_df", "title": "Growth of Orange Trees", "object": "orange_df", "class": [ "dataset_df", "tbl_df", "tbl", "data.frame" ], "fields": [ "rowid", "tree", "age", "circumference" ], "rows": 35, "table": true, "tojson": false } ], "_help": [ { "page": "as_character", "title": "Coerce a defined vector to character", "topics": [ "as.character.haven_labelled_defined", "as_character", "as_character.haven_labelled_defined" ] }, { "page": "as_character.prelabelled", "title": "Coerce prelabelled vectors to semantic character workspace", "topics": [ "as_character.prelabelled" ] }, { "page": "datacite", "title": "Create a Bibentry Object with DataCite Metadata Fields", "concept": [ "bibrecord functions" ], "topics": [ "as_datacite", "datacite", "is.datacite", "is.datacite.datacite", "print.datacite" ] }, { "page": "dublincore", "title": "Add or Retrieve Dublin Core Metadata", "concept": [ "bibrecord functions" ], "topics": [ "as_dublincore", "dublincore", "is.dublincore", "print.dublincore" ] }, { "page": "as_factor", "title": "Coerce a defined vector to a factor", "topics": [ "as_factor", "as_factor.haven_labelled_defined" ] }, { "page": "as_logical", "title": "Coerce a defined vector to logical", "topics": [ "as_logical", "as_logical.haven_labelled_defined" ] }, { "page": "as_numeric", "title": "Coerce a defined vector to numeric", "topics": [ "as_numeric", "as_numeric.haven_labelled_defined" ] }, { "page": "as_tibble.dataset_df", "title": "Coerce a 'dataset_df' to a tibble", "concept": [ "tibble.methods" ], "topics": [ "as.tibble.dataset_df", "as_tibble", "as_tibble.dataset_df" ] }, { "page": "as_value_key", "title": "Coerce semantic mappings to canonical key-value form", "topics": [ "as_value_key", "invert_value_key" ] }, { "page": "as.data.frame.dataset_df", "title": "Convert a 'dataset_df' to a base 'data.frame'", "topics": [ "as.data.frame.dataset_df" ] }, { "page": "as.Date.haven_labelled_defined", "title": "Coerce a defined Date vector to a base R Date", "topics": [ "as.Date.haven_labelled_defined" ] }, { "page": "as.POSIXct.haven_labelled_defined", "title": "Coerce a defined POSIXct vector to a base R POSIXct", "topics": [ "as.POSIXct.haven_labelled_defined" ] }, { "page": "bibrecord", "title": "Create a Modern Metadata Object Compatible with bibentry", "concept": [ "bibrecord functions" ], "topics": [ "bibrecord" ] }, { "page": "bind_defined_rows", "title": "Bind strictly defined rows", "topics": [ "bind_defined_rows" ] }, { "page": "c.haven_labelled_defined", "title": "Combine defined vectors with metadata checks", "topics": [ "c.haven_labelled_defined" ] }, { "page": "contributor", "title": "Get or set contributors", "concept": [ "bibliographic helper functions" ], "topics": [ "contributor", "contributor<-" ] }, { "page": "creator", "title": "Get/set the Creator of the object.", "concept": [ "bibliographic helper functions" ], "topics": [ "creator", "creator<-" ] }, { "page": "dataset_df", "title": "Create a new 'dataset_df' object", "topics": [ "as_dataset_df", "dataset_df", "is.dataset_df", "is_dataset_df", "names.dataset_df", "print.dataset_df" ] }, { "page": "dataset_format", "title": "Get or set the technical format of a dataset", "concept": [ "bibliographic helper functions" ], "topics": [ "dataset_format", "dataset_format<-" ] }, { "page": "dataset_title", "title": "Get or Set the Title of a Dataset", "concept": [ "bibliographic helper functions" ], "topics": [ "dataset_title", "dataset_title<-" ] }, { "page": "dataset_to_triples", "title": "Dataset to triples (three columns or N-Triples)", "topics": [ "dataset_to_triples" ] }, { "page": "defined", "title": "Create a semantically enriched vector with variable-level metadata", "topics": [ "defined", "is.defined", "summary.haven_labelled_defined" ] }, { "page": "describe", "title": "Describe a dataset in N-Triples format", "topics": [ "describe" ] }, { "page": "description", "title": "Get or set the dataset Description", "concept": [ "bibliographic helper functions" ], "topics": [ "description", "description<-" ] }, { "page": "gdp", "title": "A Small GDP Dataset", "topics": [ "gdp" ] }, { "page": "geolocation", "title": "Get or Set the Geolocation of a Dataset Object", "concept": [ "bibliographic helper functions" ], "topics": [ "geolocation", "geolocation<-" ] }, { "page": "get_bibentry", "title": "Get or set the bibentry", "concept": [ "bibliographic helper functions" ], "topics": [ "get_bibentry", "set_bibentry<-" ] }, { "page": "get_variable_concepts", "title": "Get concepts for all variables in a dataset_df", "topics": [ "get_variable_concepts" ] }, { "page": "id_to_column", "title": "Add Identifier to First Column of a Dataset", "topics": [ "id_to_column" ] }, { "page": "identifier", "title": "Get or Set the Identifier of a Dataset or Metadata Record", "concept": [ "Reference metadata functions" ], "topics": [ "identifier", "identifier<-" ] }, { "page": "language", "title": "Set the Primary Language of a Dataset", "concept": [ "bibliographic helper functions" ], "topics": [ "language", "language<-" ] }, { "page": "n_triple", "title": "Create an N-Triple", "topics": [ "n_triple" ] }, { "page": "n_triples", "title": "Create N-Triples", "topics": [ "n_triples" ] }, { "page": "orange_df", "title": "Growth of Orange Trees", "topics": [ "orange_df" ] }, { "page": "prelabel", "title": "Add lightweight semantic mappings to a vector", "topics": [ "is.prelabelled", "prelabel" ] }, { "page": "print.haven_labelled_defined", "title": "Print a defined (haven_labelled_defined) vector", "topics": [ "print.haven_labelled_defined" ] }, { "page": "provenance", "title": "Get or update provenance information", "topics": [ "provenance", "provenance<-" ] }, { "page": "publication_year", "title": "Get or Set the Publication Year of a Dataset Object", "concept": [ "bibliographic helper functions" ], "topics": [ "publication_year", "publication_year<-" ] }, { "page": "publisher", "title": "Get or Set the Publisher of a Dataset Object", "concept": [ "bibliographic helper functions" ], "topics": [ "publisher", "publisher<-" ] }, { "page": "relation", "title": "Add or retrieve related items (DataCite/Dublin Core)", "concept": [ "bibliographic helper functions" ], "topics": [ "is.related", "related_create", "related_item", "related_item<-", "relation", "relation<-" ] }, { "page": "rights", "title": "Get or Set the Rights of a Dataset Object", "concept": [ "bibliographic helper functions" ], "topics": [ "rights", "rights<-" ] }, { "page": "strip_defined", "title": "Strip the class from a defined vector", "topics": [ "strip_defined" ] }, { "page": "subject", "title": "Create, add, or retrieve a subject", "concept": [ "bibliographic helper functions" ], "topics": [ "is.subject", "subject", "subject<-", "subject_create" ] }, { "page": "var_concept", "title": "Get / set a concept definition for a vector or a dataset", "topics": [ "var_concept", "var_concept<-", "var_concept<-.default" ] }, { "page": "var_label", "title": "Get or Set a Variable Label", "concept": [ "defined metadata methods and functions" ], "topics": [ "label_attribute", "var_label", "var_label.dataset_df", "var_label.defined", "var_label<-", "var_label<-.haven_labelled_defined" ] }, { "page": "var_labels", "title": "Get or set all variable labels on a dataset", "concept": [ "defined metadata methods and functions" ], "topics": [ "var_labels", "var_labels<-" ] }, { "page": "var_namespace", "title": "Get or Set the Namespace of a Variable", "concept": [ "defined metadata methods and functions" ], "topics": [ "get_namespace_attribute", "get_variable_namespaces", "namespace_attribute", "namespace_attribute<-", "set_namespace_attribute", "var_namespace", "var_namespace<-" ] }, { "page": "var_unit", "title": "Get or Set a Unit of Measure", "concept": [ "defined metadata methods and functions" ], "topics": [ "get_unit_attribute", "get_variable_units", "set_unit_attribute", "unit_attribute", "unit_attribute<-", "var_unit", "var_unit<-", "var_unit<-.default" ] }, { "page": "xsd_convert", "title": "Convert to XML Schema Definition (XSD) Types", "concept": [ "RDF and linked data helpers" ], "topics": [ "xsd_convert", "xsd_convert.character", "xsd_convert.data.frame", "xsd_convert.dataset_df", "xsd_convert.Date", "xsd_convert.difftime", "xsd_convert.factor", "xsd_convert.haven_labelled_defined", "xsd_convert.integer", "xsd_convert.logical", "xsd_convert.numeric", "xsd_convert.POSIXct", "xsd_convert.tbl_df" ] } ], "_pkglogo": "https://github.com/ropensci/dataset/raw/main/man/figures/logo.png", "_readme": "https://github.com/ropensci/dataset/raw/main/README.md", "_rundeps": [ "assertthat", "bit", "bit64", "cli", "clipr", "cpp11", "crayon", "dplyr", "forcats", "generics", "glue", "haven", "hms", "ISOcodes", "labelled", "lifecycle", "magrittr", "pillar", "pkgconfig", "prettyunits", "progress", "purrr", "R6", "readr", "rlang", "stringi", "stringr", "tibble", "tidyr", "tidyselect", "tzdb", "utf8", "vctrs", "vroom", "withr" ], "_vignettes": [ { "source": "introduction.Rmd", "filename": "introduction.html", "title": "An Introduction to the dataset Package", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Why extend tidy data?", "Example: gradual semantic stabilisation", "Example: defining semantically rich vectors", "Example: creating a dataset from a metadata-enriched data frame", "Exporting to RDF", "Coercing back", "Summary" ], "created": "2025-07-23 12:47:51", "modified": "2026-06-03 06:39:55", "commits": 16 }, { "source": "dataset_df.Rmd", "filename": "dataset_df.html", "title": "dataset_df: Create Datasets that are Easy to Share Exchange and Extend", "engine": "knitr::rmarkdown", "headings": [ "Purpose", "Load example data", "Add metadata to your dataset", "Inspecting variable-level metadata", "Adding dataset-level metadata", "Reviewing dataset-level metadata", "Joining datasets", "Coercion inside dataset_df conversion", "Conclusion" ], "created": "2024-12-16 09:31:36", "modified": "2026-05-16 09:03:38", "commits": 19 }, { "source": "defined.Rmd", "filename": "defined.html", "title": "defined: Semantically Enriched Vectors", "engine": "knitr::rmarkdown", "headings": [ "Purpose", "Getting started", "Printing and summary", "Handling ambiguity", "Using namespaces for coded values", "Basic Usage", "Subsetting and coercion", "Coerce to base R types", "Character coercion", "Factor coercion", "Numeric coercion", "Logical coercion", "Date coercion", "POSIXct coercion", "Conclusion" ], "created": "2024-12-16 09:31:36", "modified": "2026-06-03 06:39:55", "commits": 20 }, { "source": "design.Rmd", "filename": "design.html", "title": "Design Principles & Future Work Semantically Enriched, Standards-Aligned Datasets in R", "engine": "knitr::rmarkdown", "headings": [ "Abstract", "Introduction and Motivation", "Related Work", "Design Principles", "Semantic Early Binding", "Attribute-Based, Not Schema-Based", "Persistence Across Save/Load Cycles", "Base Examples: Using the dataset Grammar", "Creating Defined Vectors", "Assembling a Dataset with Metadata", "Provenance Tracking", "Applied Example: Joining Data with Semantic Constraints", "Step 1: Create a Eurostat-Compatible GDP Dataset", "Step 2: Create a Dollar-based GDP Dataset", "Step 3: Transform the Data and Document the Change", "Full Interoperability", "Export and Interoperability", "Limitations and Future Work" ], "created": "2025-08-05 14:05:59", "modified": "2026-05-24 19:01:00", "commits": 8 }, { "source": "example-dataset.Rmd", "filename": "example-dataset.html", "title": "Example Dataset Definitions", "engine": "knitr::rmarkdown", "headings": [ "Purpose", "Example Dataset Definitions For RDF", "obs:1", "obs:2", "obs:3", "Machine-readable form" ], "created": "2025-08-23 10:17:19", "modified": "2025-08-25 17:24:40", "commits": 3 }, { "source": "rdf.Rmd", "filename": "rdf.html", "title": "From R to RDF", "engine": "knitr::rmarkdown", "headings": [ "From tidy data to RDF triples", "Creating a minimal semantically defined dataset", "RDF triples enable interoperability", "Clean up", "Scale up" ], "created": "2024-12-24 23:57:54", "modified": "2025-08-25 21:45:42", "commits": 23 }, { "source": "prelabelled.Rmd", "filename": "prelabelled.html", "title": "Handling Semantic Ambiguity with prelabelled Vectors", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "A small ambiguous dataset", "Creating provisional semantic assertions", "Inspecting the prelabelled vector", "Semantic operationalisation", "A more ambiguous dataset", "Incremental semantic stabilization", "Semantic workspaces", "From provisional semantics to formally defined semantics" ], "created": "2026-05-24 19:00:05", "modified": "2026-06-03 06:39:55", "commits": 2 }, { "source": "bibrecord.Rmd", "filename": "bibrecord.html", "title": "Modernising Citation Metadata in R: Introducing bibrecord", "engine": "knitr::rmarkdown", "headings": [ "Purpose", "What is bibrecord", "Creating a bibrecord", "Printing a bibrecord", "Compatibility with existing infrastructure", "Future extensions", "Summary" ], "created": "2025-05-22 20:51:05", "modified": "2025-08-22 19:03:49", "commits": 6 } ], "_score": 9.054116434168979, "_indexed": true, "_nocasepkg": "dataset", "_universes": [ "ropensci" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.4.5", "date": "2026-06-03T08:35:55.000Z", "distro": "noble", "commit": "1dabc465edabb0cf3e8bcd2887730439be31e040", "fileid": "d80b58a32bfb4f8c875e2e859d51cfb8d1d847b0bbc6416936fc277eca858603", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ropensci/actions/runs/26873100814" }, { "r": "4.6.0", "os": "linux", "version": "0.4.5", "date": "2026-06-03T08:35:54.000Z", "distro": "noble", "commit": "1dabc465edabb0cf3e8bcd2887730439be31e040", "fileid": "4613d19d7e27b30a50b789b8dc9476ad6cf980cdf50bb55abaceac19e94e8e46", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ropensci/actions/runs/26873100814" }, { "r": "4.5.3", "os": "mac", "version": "0.4.5", "date": "2026-06-03T08:36:21.000Z", "commit": "1dabc465edabb0cf3e8bcd2887730439be31e040", "fileid": "d1f7ac84fe9aa32c9be8a66fa6ae773bee0fec462413a9fa79e81408dd5b1ffa", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ropensci/actions/runs/26873100814" }, { "r": "4.6.0", "os": "mac", "version": "0.4.5", "date": "2026-06-03T08:38:17.000Z", "commit": "1dabc465edabb0cf3e8bcd2887730439be31e040", "fileid": "04c1c7660ecd449675e8f9fef25dffb5cee2258d0ee3a48079c2ddfc7f215a97", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ropensci/actions/runs/26873100814" }, { "r": "4.6.0", "os": "wasm", "version": "0.4.5", "date": "2026-06-03T08:35:52.000Z", "commit": "1dabc465edabb0cf3e8bcd2887730439be31e040", "fileid": "fe73172694309fe6f748f41915506db11fe7f13090e11193879bd1eec73f02c8", "status": "success", "buildurl": "https://github.com/r-universe/ropensci/actions/runs/26873100814" }, { "r": "4.7.0", "os": "win", "version": "0.4.5", "date": "2026-06-03T08:35:15.000Z", "commit": "1dabc465edabb0cf3e8bcd2887730439be31e040", "fileid": "7425db1ff3bd03a339e7e335b5fca3128e46202ba59d145f86b78e477fec4281", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ropensci/actions/runs/26873100814" }, { "r": "4.5.3", "os": "win", "version": "0.4.5", "date": "2026-06-03T08:34:45.000Z", "commit": "1dabc465edabb0cf3e8bcd2887730439be31e040", "fileid": "7a52e39a92b4895656864cb4a41a0c0ab5bf48b609485e31b10840c702ff94c3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ropensci/actions/runs/26873100814" }, { "r": "4.6.0", "os": "win", "version": "0.4.5", "date": "2026-06-03T08:35:27.000Z", "commit": "1dabc465edabb0cf3e8bcd2887730439be31e040", "fileid": "458346c18dd1da038faab1dd3aac62d953bb65262aa8be44ba358472db0d32d9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ropensci/actions/runs/26873100814" } ] }