{ "_id": "6a105498acfb0bcc41ca2180", "Package": "HPZoneAPI", "Type": "Package", "Title": "'HPZone' API Interface", "Version": "1.3.0", "Authors@R": "person(\"Aart\", \"Dijkstra\", email=\"a.dijkstra@ggdnog.nl\", role=c(\"aut\", \"cre\", \"cph\"))", "Maintainer": "Aart Dijkstra ", "Description": "Package that simplifies the use of the 'HPZone' API. Most\nof the annoying and labor-intensive parts of the interface are\nhandled by wrapper functions. Note that the API and its details\nare not publicly available. Information can be found at\n\nfor those with access.", "URL": "https://github.com/ggdatascience/HPZoneAPI", "BugReports": "https://github.com/ggdatascience/HPZoneAPI/issues", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.3.3", "Config/testthat/edition": "3", "Config/pak/sysreqs": "libicu-dev libsecret-1-dev libsodium-dev libssl-dev", "Repository": "https://ggdatascience.r-universe.dev", "Date/Publication": "2026-04-09 10:09:20 UTC", "RemoteUrl": "https://github.com/ggdatascience/hpzoneapi", "RemoteRef": "HEAD", "RemoteSha": "648cccdb36e39f6d8839ccad6ac18f27e32ab9fe", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-09 08:27:30 UTC", "User": "root" }, "Author": "Aart Dijkstra [aut, cre, cph]", "MD5sum": "c25c974eb155cbe180f0eb27872dfb5a", "_user": "ggdatascience", "_type": "src", "_file": "HPZoneAPI_1.3.0.tar.gz", "_fileid": "11e77cc75ca67a90ed4bce43f09417171872702fcdcd39111f737e44295510b8", "_filesize": 153819, "_sha256": 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"package": "lubridate", "role": "Imports" }, { "package": "magrittr", "role": "Imports" }, { "package": "readxl", "role": "Imports" }, { "package": "rstudioapi", "role": "Imports" }, { "package": "safer", "role": "Imports" }, { "package": "stringr", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "ggdatascience", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-04", "n": 2 }, { "week": "2026-15", "n": 4 } ], "_tags": [ { "name": "v1.1.0.9000", "date": "2026-01-23" } ], "_stars": 0, "_contributors": [ { "user": "aartdijkstra", "count": 4, "uuid": 125073330 } ], "_userbio": { "uuid": 51366690, "type": "organization", "name": "GGData" }, "_downloads": { "count": 459, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/HPZoneAPI" }, "_devurl": "https://github.com/ggdatascience/hpzoneapi", "_searchresults": 2, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/HPZoneAPI.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/ggdatascience/hpzoneapi", "_realowner": "ggdatascience", "_cranurl": true, "_releases": [ { "version": "1.0.0", "date": "2025-10-28" }, { "version": "1.1.0", "date": "2025-11-20" }, { "version": "1.3.0", "date": "2026-04-09" } ], "_exports": [ "HPZone_convert_dates", "HPZone_make_valid", "HPZone_necessary_scope", "HPZone_request", "HPZone_request_paginated", "HPZone_request_query", "HPZone_request_raw", "HPZone_setup", "HPZone_store_credentials", "test_HPZone_token" ], "_datasets": [ { "name": "HPZone_fields", "title": "Endpoints and fields available in the HPZone API", "object": "HPZone_fields", "class": [ "tbl_df", "tbl", "data.frame" ], "fields": [ "endpoint", "field_hr", "field", "scope_standard", "scope_extended", "in_basic", "note" ], "rows": 248, "table": true, "tojson": true } ], "_help": [ { "page": "HPZone_convert_dates", "title": "Converts all relevant columns in the dataset to Date types.", "topics": [ "HPZone_convert_dates" ] }, { "page": "HPZone_fields", "title": "Endpoints and fields available in the HPZone API", "topics": [ "HPZone_fields" ] }, { "page": "HPZone_make_valid", "title": "Takes a list of fields or endpoints and corrects them. This allows for short hand usage without having to check the documentation, e.g. 'Date of onset' instead of 'Date_of_onset'", "topics": [ "HPZone_make_valid" ] }, { "page": "HPZone_necessary_scope", "title": "Determines the necessary scope for a given list of fields.", "topics": [ "HPZone_necessary_scope" ] }, { "page": "HPZone_request", "title": "Performs a HPZone request with the given parameters.", "topics": [ "HPZone_request" ] }, { "page": "HPZone_request_paginated", "title": "Performs a HPZone request with the given parameters.", "topics": [ "HPZone_request_paginated" ] }, { "page": "HPZone_request_query", "title": "Performs a HPZone request with the given parameters.", "topics": [ "HPZone_request_query" ] }, { "page": "HPZone_request_raw", "title": "Performs a HPZone request with the given parameters.", "topics": [ "HPZone_request_raw" ] }, { "page": "HPZone_setup", "title": "Initialisation function to define API credentials. This function must be called before anything else, as the details supplied in this call are required for use. Note that client_id and client_secret should preferably not be supplied in this call, but rather stored using [HPZone_store_credentials()].", "topics": [ "HPZone_setup" ] }, { "page": "HPZone_store_credentials", "title": "Safely stores the HPZone API details, so you don't need to put them in your script. The default OS keyring backend is used through the keyring-package. Values are stored in an encrypted format to prevent harvesting by other applications. Note that the actual values are not supplied as arguments, but requested using rstudioapi password prompts.", "topics": [ "HPZone_store_credentials" ] }, { "page": "test_HPZone_token", "title": "Tests the supplied HPZone token against the token endpoint. Note that this does not check the type of access, only the functionality of the token.", "topics": [ "test_HPZone_token" ] } ], "_readme": "https://github.com/ggdatascience/hpzoneapi/raw/HEAD/README.md", "_rundeps": [ "askpass", "assertthat", "backports", "base64enc", "base64url", "cellranger", "cli", "cpp11", "crayon", "curl", "dplyr", "filelock", "generics", "glue", "hms", "httr2", "jsonlite", "keyring", "lifecycle", "lubridate", "magrittr", "openssl", "pillar", "pkgconfig", "prettyunits", "progress", "R6", "rappdirs", "readxl", "rematch", "rlang", "rstudioapi", "safer", "sodium", "stringi", "stringr", "sys", "tibble", "tidyselect", "timechange", "utf8", "vctrs", "withr", "yaml" ], "_score": 3, "_indexed": true, "_nocasepkg": "hpzoneapi", "_universes": [ "ggdatascience" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.3.0", "date": "2026-05-09T08:29:33.000Z", "distro": "noble", "commit": "648cccdb36e39f6d8839ccad6ac18f27e32ab9fe", "fileid": "38d7b56e39a9797dd9899ad27d456f45575623b3f9f8bab43b957f7a2332e99a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ggdatascience/actions/runs/25596455727" }, { "r": "4.6.0", "os": "linux", "version": "1.3.0", "date": "2026-05-09T08:29:38.000Z", "distro": "noble", "commit": "648cccdb36e39f6d8839ccad6ac18f27e32ab9fe", "fileid": "ebde2aa18b1cddd333859e261cebd02d05043db93e6f0086207104d2bf840e06", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ggdatascience/actions/runs/25596455727" }, { "r": "4.5.3", "os": "mac", "version": "1.3.0", "date": "2026-05-09T08:29:53.000Z", "commit": "648cccdb36e39f6d8839ccad6ac18f27e32ab9fe", "fileid": "c65e63ec5010ae7a420b15ad1b103c0c9c2eb6b7adbd39ec1b42def01178718d", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ggdatascience/actions/runs/25596455727" }, { "r": "4.6.0", "os": "mac", "version": "1.3.0", "date": "2026-05-09T08:29:11.000Z", "commit": "648cccdb36e39f6d8839ccad6ac18f27e32ab9fe", "fileid": "b69fa991f093b5f564d6d8155ec229a3594a030b6bdbd6515a5b05f9955fc260", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ggdatascience/actions/runs/25596455727" }, { "r": "4.7.0", "os": "win", "version": "1.3.0", "date": "2026-05-09T08:28:52.000Z", "commit": "648cccdb36e39f6d8839ccad6ac18f27e32ab9fe", "fileid": "c4c72266ee556c24c4862002259da4f9c08a4ee91244a55eb36a5006d7899c96", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ggdatascience/actions/runs/25596455727" }, { "r": "4.5.3", "os": "win", "version": "1.3.0", "date": "2026-05-09T08:28:37.000Z", "commit": "648cccdb36e39f6d8839ccad6ac18f27e32ab9fe", "fileid": "c0df284ceff601358fa19b78cfb04004815948b9664d16f96310ff0ce8ce313c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ggdatascience/actions/runs/25596455727" }, { "r": "4.6.0", "os": "win", "version": "1.3.0", "date": "2026-05-09T08:28:38.000Z", "commit": "648cccdb36e39f6d8839ccad6ac18f27e32ab9fe", "fileid": "9eb3da003a97ccdfca389070f2966caecf35e842475873e1764bdc465e2b343a", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/ggdatascience/actions/runs/25596455727" }, { "r": "4.6.0", "os": "wasm", "version": "1.3.0", "date": "2026-05-22T13:05:09.000Z", "commit": "648cccdb36e39f6d8839ccad6ac18f27e32ab9fe", "fileid": "c715d5a95d7b1679404b1f64e2bd1a701ac995d465ec46b16f558c98e67a6ccc", "status": "success", "buildurl": "https://github.com/r-universe/ggdatascience/actions/runs/25596455727" } ] }