{ "_id": "6a252f534b233be1983957f6", "Package": "xgxr", "Title": "Exploratory Graphics for Pharmacometrics", "Version": "1.1.5", "Authors@R": "c(person(given = \"Andrew\",\nfamily = \"Stein\",\nrole = c(\"aut\", \"cre\"),\nemail = \"andy.stein@gmail.com\"),\nperson(given = \"Alison\",\nfamily = \"Margolskee\",\nrole = \"aut\",\nemail = \"alison.margolskee@gmail.com\"),\nperson(given = \"Fariba\",\nfamily = \"Khanshan\",\nrole = \"aut\",\nemail = \"faribashan@gmail.com\"),\nperson(given = \"Konstantin\",\nfamily = \"Krismer\",\nrole = \"aut\",\nemail = \"krismer@mit.edu\",\ncomment = c(ORCID = \"0000-0001-8994-3416\")),\nperson(given = \"Matthew\",\nfamily = \"Fidler\",\nrole = \"ctb\",\nemail = \"matthew.fidler@gmail.com\",\ncomment = c(ORCID = \"0000-0001-8538-6691\")),\nperson(\"Novartis Pharma AG\", role = c(\"cph\",\"fnd\")))", "Description": "Supports a structured approach for exploring PKPD data\n. It also contains helper\nfunctions for enabling the modeler to follow best R practices\n(by appending the program name, figure name location, and draft\nstatus to each plot). In addition, it enables the modeler to\nfollow best graphical practices (by providing a theme that\nreduces chart ink, and by providing time-scale, log-scale, and\nreverse-log-transform-scale functions for more readable axes).\nFinally, it provides some data checking and summarizing\nfunctions for rapidly exploring pharmacokinetics and\npharmacodynamics (PKPD) datasets.", "License": "MIT + file LICENSE", "URL": "https://opensource.nibr.com/xgx/", "BugReports": "https://github.com/Novartis/xgxr/issues", "VignetteBuilder": "knitr", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.2.3", "Config/pak/sysreqs": "cmake make libicu-dev libpng-dev libuv1-dev\nlibssl-dev libx11-dev zlib1g-dev", "Repository": "https://novartis.r-universe.dev", "Date/Publication": "2025-07-12 21:07:43 UTC", "RemoteUrl": "https://github.com/novartis/xgxr", "RemoteRef": "HEAD", "RemoteSha": "2f8f6872142c159071308b60cb5794834336c406", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-07 08:40:07 UTC", "User": "root" }, "Author": "Andrew Stein [aut, cre],\nAlison Margolskee [aut],\nFariba Khanshan [aut],\nKonstantin Krismer [aut] (ORCID:\n),\nMatthew Fidler [ctb] (ORCID: ),\nNovartis Pharma AG [cph, fnd]", "Maintainer": "Andrew Stein ", "MD5sum": "0d9bd9fa82bb33fa11221a1a96ea111c", "_user": "novartis", "_type": "src", "_file": "xgxr_1.1.5.tar.gz", "_fileid": "e1fa6e2cbf258037e67377bffba7c7ddba5694755424d236a0de45c177a105da", "_filesize": 2283127, "_sha256": "e1fa6e2cbf258037e67377bffba7c7ddba5694755424d236a0de45c177a105da", "_created": "2026-06-07T08:40:07.000Z", "_published": "2026-06-07T08:44:03.896Z", "_distro": "noble", "_jobs": [ { "job": 79945064241, "time": 191, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7462470979" }, { "job": 79945064236, "time": 190, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7462470805" }, { "job": 79945064249, "time": 119, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7462462325" }, { "job": 79945064250, "time": 123, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7462462917" }, { "job": 79944806994, "time": 273, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7462447561" }, { "job": 79945064222, "time": 139, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7462464808" }, { "job": 79945064247, "time": 161, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7462467259" }, { "job": 79945064242, "time": 148, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7462465620" }, { "job": 79945064240, "time": 147, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7462465701" } ], "_buildurl": "https://github.com/r-universe/novartis/actions/runs/27087526488", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/novartis/xgxr", "_commit": { "id": "2f8f6872142c159071308b60cb5794834336c406", "author": "Andrew Stein ", "committer": "GitHub ", "message": "Merge pull request #70 from keithnewman/fix-number-breaks\n\nUse user-specified `number_breaks` argument", "time": 1752354463 }, "_maintainer": { "name": "Andrew Stein", "email": "andy.stein@gmail.com", "login": "iamstein", "twitter": "@holymold", "description": "Novartis email:\nandrew.stein@novartis.com", "uuid": 2180507 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "assertthat", "role": "Imports" }, { "package": "binom", "role": "Imports" }, { "package": "Deriv", "role": "Imports" }, { "package": "DescTools", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "glue", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "gtable", "role": "Imports" }, { "package": "Hmisc", "role": "Imports" }, { "package": "labeling", "role": "Imports" }, { "package": "magrittr", "role": "Imports" }, { "package": "minpack.lm", "role": "Imports" }, { "package": "pander", "role": "Imports" }, { "package": "png", "role": "Imports" }, { "package": "RCurl", "role": "Imports" }, { "package": "readr", "role": "Imports" }, { "package": "scales", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "stringr", "role": "Imports" }, { "package": "tibble", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "vctrs", "role": "Imports" }, { "package": "caTools", "role": "Suggests" }, { "package": "gridExtra", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "pkgdown", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" }, { "package": "tidyr", "role": "Suggests" } ], "_owner": "novartis", "_selfowned": true, "_usedby": 6, "_updates": [ { "week": "2025-28", "n": 1 } ], "_tags": [], "_stars": 16, "_contributors": [ { "user": "margoal1", "count": 129, "uuid": 44787126 }, { "user": "iamstein", "count": 84, "uuid": 2180507 }, { "user": "kkrismer", "count": 60, "uuid": 9969612 }, { "user": "mattfidler", "count": 8, "uuid": 514778 }, { "user": "billdenney", "count": 2, "uuid": 10359931 }, { "user": "keithnewman", "count": 1, "uuid": 932250 } ], "_userbio": { "uuid": 6154715, "type": "organization", "name": "Novartis Open Source Initiative", "description": "Hosts open source projects for Novartis R&D. Details and instructions can be found on go/OSI (from Novartis network)." }, "_downloads": { "count": 2426, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/xgxr" }, "_devurl": "https://github.com/novartis/xgxr", "_searchresults": 126, "_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/xgxr.html", "manual.pdf" ], "_homeurl": "https://github.com/novartis/xgxr", "_realowner": "novartis", "_cranurl": true, "_releases": [ { "version": "1.0.0", "date": "2019-08-10" }, { "version": "1.0.2", "date": "2019-08-21" }, { "version": "1.0.3", "date": "2019-09-28" }, { "version": "1.0.4", "date": "2019-10-10" }, { "version": "1.0.5", "date": "2019-10-17" }, { "version": "1.0.6", "date": "2019-12-09" }, { "version": "1.0.7", "date": "2020-01-10" }, { "version": "1.0.9", "date": "2020-04-14" }, { "version": "1.1.0", "date": "2021-02-04" }, { "version": "1.1.1", "date": "2021-04-22" }, { "version": "1.1.2", "date": "2023-03-22" } ], "_exports": [ "%>%", "edit_rmd_template_str", "get_rmd_name", "get_rmd_str", "gtable", "nlsLM", "StatSmoothOrdinal", "StatSummaryBinQuant", "StatSummaryOrdinal", "theme_xgx", "xgx_annotate_filenames", "xgx_annotate_status", "xgx_annotate_status_png", "xgx_auto_explore", "xgx_breaks_log10", "xgx_breaks_time", "xgx_check_data", "xgx_conf_int", "xgx_dirs2char", "xgx_geom_ci", "xgx_geom_pi", "xgx_geom_smooth", "xgx_geom_smooth_emax", "xgx_labels_log10", "xgx_minor_breaks_log10", "xgx_plot", "xgx_save", "xgx_save_table", "xgx_scale_x_log10", "xgx_scale_x_percentchangelog10", "xgx_scale_x_reverselog10", "xgx_scale_x_time_units", "xgx_scale_y_log10", "xgx_scale_y_percentchangelog10", "xgx_scale_y_reverselog10", "xgx_scale_y_time_units", "xgx_stat_ci", "xgx_stat_pi", "xgx_stat_smooth", "xgx_summarize_covariates", "xgx_summarize_data", "xgx_theme", "xgx_theme_set" ], "_datasets": [ { "name": "case1_pkpd", "title": "Case 1 PKPD Data Set", "object": "case1_pkpd", "class": [ "data.frame" ], "fields": [ "ID", "TIME", "NOMTIME", "TIMEUNIT", "AMT", "LIDV", "CMT", "NAME", "EVENTU", "CENS", "EVID", "WEIGHTB", "eff0", "TRTACT", "DOSE", "PROFDAY", "PROFTIME", "CYCLE", "PART", "STUDY", "IPRED" ], "rows": 20820, "table": true, "tojson": true }, { "name": "mad", "title": "Multiple Ascending Dose Data Set", "object": "mad", "class": [ "data.frame" ], "fields": [ "ID", "TIME", "NOMTIME", "TIMEUNIT", "AMT", "LIDV", "MDV", "CMT", "NAME", "EVENTU", "CENS", "EVID", "WEIGHTB", "SEX", "TRTACT", "DOSE", "PROFDAY", "PROFTIME", "CYCLE" ], "rows": 4160, "table": true, "tojson": true }, { "name": "mad_missing_duplicates", "title": "Multiple Ascending Dose Data Set (Duplicates Removed)", "object": "mad_missing_duplicates", "class": [ "data.frame" ], "fields": [ "ID", "TIME", "NOMTIME", "TIMEUNIT", "AMT", "LIDV", "MDV", "CMT", "NAME", "EVENTU", "CENS", "EVID", "WEIGHTB", "SEX", "TRTACT", "DOSE", "PROFDAY", "PROFTIME", "CYCLE" ], "rows": 4168, "table": true, "tojson": true }, { "name": "mad_nca", "title": "Multiple Ascending Dose Noncompartmental Analysis (NCA) dataset", "object": "mad_nca", "class": [ "data.frame" ], "fields": [ "ID", "PARAM", "VALUE", "DOSE", "TRTACT", "SEX", "WEIGHTB" ], "rows": 22200, "table": true, "tojson": true }, { "name": "nlmixr_theo_sd", "title": "nlmixr Theophylline SD Data Set", "object": "nlmixr_theo_sd", "class": [ "data.frame" ], "fields": [ "ID", "TIME", "DV", "AMT", "EVID", "CMT", "WT" ], "rows": 144, "table": true, "tojson": true }, { "name": "sad", "title": "Single Ascending Dose Data Set", "object": "sad", "class": [ "data.frame" ], "fields": [ "ID", "TIME", "NOMTIME", "TIMEUNIT", "AMT", "LIDV", "MDV", "CMT", "NAME", "EVENTU", "CENS", "EVID", "WEIGHTB", "SEX", "TRTACT", "DOSE" ], "rows": 700, "table": true, "tojson": true } ], "_help": [ { "page": "case1_pkpd", "title": "Case 1 PKPD Data Set", "topics": [ "case1_pkpd" ] }, { "page": "edit_rmd_template_str", "title": "Edit a Rmd Template from xgx", "topics": [ "edit_rmd_template_str" ] }, { "page": "get_rmd_name", "title": "Determine the name of a Rmd template", "topics": [ "get_rmd_name" ] }, { "page": "get_rmd_str", "title": "'get_rmd_str' returns a Rmd template string, based on the desired PKPD parameters", "topics": [ "get_rmd_str" ] }, { "page": "mad", "title": "Multiple Ascending Dose Data Set", "topics": [ "mad" ] }, { "page": "mad_missing_duplicates", "title": "Multiple Ascending Dose Data Set (Duplicates Removed)", "topics": [ "mad_missing_duplicates" ] }, { "page": "mad_nca", "title": "Multiple Ascending Dose Noncompartmental Analysis (NCA) dataset", "topics": [ "mad_nca" ] }, { "page": "nlmixr_theo_sd", "title": "nlmixr Theophylline SD Data Set", "topics": [ "nlmixr_theo_sd" ] }, { "page": "predict.nls", "title": "predict.nls", "topics": [ "predict.nls" ] }, { "page": "predictdf", "title": "Prediction data frame from ggplot2 Get predictions with standard errors into data frame", "topics": [ "predictdf" ] }, { "page": "predictdf.nls", "title": "Prediction data frame for nls", "topics": [ "predictdf.nls" ] }, { "page": "predictdf.polr", "title": "Prediction data frame for polr", "topics": [ "predictdf.polr" ] }, { "page": "sad", "title": "Single Ascending Dose Data Set", "topics": [ "sad" ] }, { "page": "StatSmoothOrdinal", "title": "Stat object for producing smooths through ordinal data", "topics": [ "StatSmoothOrdinal" ] }, { "page": "StatSummaryBinQuant", "title": "Stat ggproto object for binning by quantile for xgx_stat_ci", "topics": [ "StatSummaryBinQuant" ] }, { "page": "StatSummaryOrdinal", "title": "Stat ggproto object for creating ggplot layers of binned confidence intervals for probabiliities of classes in ordinal data", "topics": [ "StatSummaryOrdinal" ] }, { "page": "theme_xgx", "title": "Calls the standard theme for xGx graphics", "topics": [ "theme_xgx" ] }, { "page": "xgx_annotate_filenames", "title": "Append filenames to bottom of the plot", "topics": [ "xgx_annotate_filenames" ] }, { "page": "xgx_annotate_status", "title": "Create a status (e.g. DRAFT) annotation layer", "topics": [ "xgx_annotate_status" ] }, { "page": "xgx_annotate_status_png", "title": "Annotate a png file or directory of png files", "topics": [ "xgx_annotate_status_png" ] }, { "page": "xgx_auto_explore", "title": "Produce an xgx-styled report the given dataset using xgx R markdown templates, or a user-provided R markdown template. (Note: The R markdown template provided must be formatted in a similar manner to that of the xgx R markdown templates to work.) The working directory will contain a new directory (`xgx_autoexplore_output`) after running this function, which will contain a directory for the dataset, and futher a directory for the type of analysis / R markdown template.", "topics": [ "xgx_auto_explore" ] }, { "page": "xgx_breaks_log10", "title": "Sets the default breaks for log10", "topics": [ "xgx_breaks_log10" ] }, { "page": "xgx_breaks_time", "title": "Sets the default breaks for a time axis", "topics": [ "xgx_breaks_time" ] }, { "page": "xgx_check_data", "title": "Check data for various issues", "topics": [ "xgx_check_data" ] }, { "page": "xgx_conf_int", "title": "'xgx_conf_int' returns a dataframe with mean +/- confidence intervals", "topics": [ "xgx_conf_int" ] }, { "page": "xgx_dirs2char", "title": "Append filenames to bottom of the plot", "topics": [ "xgx_dirs2char" ] }, { "page": "xgx_geom_ci", "title": "Plot data with mean and confidence intervals", "topics": [ "xgx_geom_ci" ] }, { "page": "xgx_geom_pi", "title": "Plot data with median and percent intervals", "topics": [ "xgx_geom_pi" ] }, { "page": "xgx_labels_log10", "title": "Nice labels for log10.", "topics": [ "xgx_labels_log10" ] }, { "page": "xgx_minor_breaks_log10", "title": "Sets the default minor_breaks for log10 scales", "topics": [ "xgx_minor_breaks_log10" ] }, { "page": "xgx_plot", "title": "Create a new xgx plot", "topics": [ "xgx_plot" ] }, { "page": "xgx_save", "title": "Saving plot, automatically annotating the status and denoting the filenames", "topics": [ "xgx_save" ] }, { "page": "xgx_save_table", "title": "Saving table as an image, also labeling the program that created the table and where the table is stored", "topics": [ "xgx_save_table" ] }, { "page": "xgx_scale_x_log10", "title": "log10 scales the x axis with a \"pretty\" set of breaks", "topics": [ "xgx_scale_x_log10" ] }, { "page": "xgx_scale_x_reverselog10", "title": "Reverse-log transform for the x scale.", "topics": [ "xgx_scale_x_reverselog10" ] }, { "page": "xgx_scale_x_time_units", "title": "Convert time units for plotting", "topics": [ "xgx_scale_x_time_units", "xgx_scale_y_time_units" ] }, { "page": "xgx_scale_y_log10", "title": "log10 scales the y axis with a \"pretty\" set of breaks", "topics": [ "xgx_scale_y_log10" ] }, { "page": "xgx_scale_y_percentchangelog10", "title": "percentchangelog10 transform for the y scale.", "topics": [ "xgx_scale_x_percentchangelog10", "xgx_scale_y_percentchangelog10" ] }, { "page": "xgx_scale_y_reverselog10", "title": "Reverselog transform for the y scale.", "topics": [ "xgx_scale_y_reverselog10" ] }, { "page": "xgx_stat_ci", "title": "Plot data with mean and confidence intervals", "topics": [ "xgx_stat_ci" ] }, { "page": "xgx_stat_pi", "title": "Plot data with median and percent intervals", "topics": [ "xgx_stat_pi" ] }, { "page": "xgx_stat_smooth", "title": "Wrapper for stat_smooth", "topics": [ "xgx_geom_smooth", "xgx_geom_smooth_emax", "xgx_stat_smooth" ] }, { "page": "xgx_summarize_covariates", "title": "Summarize Covariate information in a dataset", "topics": [ "xgx_summarize_covariates" ] }, { "page": "xgx_summarize_data", "title": "Check data for various issues", "topics": [ "xgx_summarize_data" ] }, { "page": "xgx_theme", "title": "Calls the standard theme for xGx graphics", "topics": [ "xgx_theme" ] }, { "page": "xgx_theme_set", "title": "Sets the standard theme for xGx graphics", "topics": [ "xgx_theme_set" ] } ], "_readme": "https://github.com/novartis/xgxr/raw/HEAD/README.md", "_rundeps": [ "askpass", "assertthat", "backports", "base64enc", "binom", "bit", "bit64", "bitops", "boot", "bslib", "cachem", "cellranger", "checkmate", "class", "cli", "clipr", "cluster", "colorspace", "cpp11", "crayon", "curl", "data.table", "Deriv", "DescTools", "digest", "dplyr", "e1071", "evaluate", "Exact", "expm", "farver", "fastmap", "fontawesome", "forcats", "foreign", "Formula", "fs", "generics", "ggplot2", "gld", "glue", "gridExtra", "gtable", "haven", "highr", "Hmisc", "hms", "htmlTable", "htmltools", "htmlwidgets", "httr", "isoband", "jquerylib", "jsonlite", "knitr", "labeling", "lattice", "lifecycle", "lmom", "magrittr", "MASS", "Matrix", "memoise", "mime", "minpack.lm", "mvtnorm", "nnet", "openssl", "pander", "pillar", "pkgconfig", "png", "prettyunits", "progress", "proxy", "R6", "rappdirs", "RColorBrewer", "Rcpp", "RCurl", "readr", "readxl", "rematch", "rlang", "rmarkdown", "rootSolve", "rpart", "rstudioapi", "S7", "sass", "scales", "stringi", "stringr", "sys", "tibble", "tidyselect", "tinytex", "tzdb", "utf8", "vctrs", "viridisLite", "vroom", "withr", "xfun", "yaml" ], "_vignettes": [ { "source": "xgxr_overview.Rmd", "filename": "xgxr_overview.html", "title": "xgxr Overview", "author": "Andrew Stein, Fariba Khanshan, Alison Margolskee", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Required Packages", "Traceability: annotating and saving plots and tables", "Annotating figures", "Graphics helpers", "xgx theme", "Confidence intervals", "Nonlinear smoothing (e.g. Emax), and ordinal response smoothing", "Nice log scale", "Reverse log transform", "Nice scale for percent change data", "Scaling x-axis as a time scale" ], "created": "2019-08-01 20:12:43", "modified": "2023-08-18 20:40:30", "commits": 17 } ], "_score": 8.342593838079386, "_indexed": true, "_nocasepkg": "xgxr", "_universes": [ "novartis", "iamstein" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.1.5", "date": "2026-06-07T08:42:36.000Z", "distro": "noble", "commit": "2f8f6872142c159071308b60cb5794834336c406", "fileid": "dd7486fb33bd3b62f2eca69c606c201babffaa40341cf3aa808a7158faca9be2", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/novartis/actions/runs/27087526488" }, { "r": "4.6.0", "os": "linux", "version": "1.1.5", "date": "2026-06-07T08:42:37.000Z", "distro": "noble", "commit": "2f8f6872142c159071308b60cb5794834336c406", "fileid": "065a32026e410998fbdf0de54829d86c73e44e032a15c023dc30ac76c1daab56", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/novartis/actions/runs/27087526488" }, { "r": "4.5.3", "os": "mac", "version": "1.1.5", "date": "2026-06-07T08:41:49.000Z", "commit": "2f8f6872142c159071308b60cb5794834336c406", "fileid": "5b8dc62e3656d2736b5e543e3688ab327be971aa17a29428541b2403c40a0f48", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/novartis/actions/runs/27087526488" }, { "r": "4.6.0", "os": "mac", "version": "1.1.5", "date": "2026-06-07T08:41:50.000Z", "commit": "2f8f6872142c159071308b60cb5794834336c406", "fileid": "3c2086537684b4bfa11a0e91bf99d9286ff98a44783c5c4c731c0e26824ef37e", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/novartis/actions/runs/27087526488" }, { "r": "4.6.0", "os": "wasm", "version": "1.1.5", "date": "2026-06-07T08:42:49.000Z", "commit": "2f8f6872142c159071308b60cb5794834336c406", "fileid": "29fe8c1b58e6f050404f54f835f4498af45a3e05cf2d0f433b6b445b22151138", "status": "success", "buildurl": "https://github.com/r-universe/novartis/actions/runs/27087526488" }, { "r": "4.7.0", "os": "win", "version": "1.1.5", "date": "2026-06-07T08:41:35.000Z", "commit": "2f8f6872142c159071308b60cb5794834336c406", "fileid": "866c796d30226f596d77b11429e32f03357b06d0f4a0b448ac6c475051cf28c4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/novartis/actions/runs/27087526488" }, { "r": "4.5.3", "os": "win", "version": "1.1.5", "date": "2026-06-07T08:41:38.000Z", "commit": "2f8f6872142c159071308b60cb5794834336c406", "fileid": "f3ae0558fbbba21e26bbc7c3385f7d9351e310cb7ab5dd2f0b89082a8c214fba", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/novartis/actions/runs/27087526488" }, { "r": "4.6.0", "os": "win", "version": "1.1.5", "date": "2026-06-07T08:41:41.000Z", "commit": "2f8f6872142c159071308b60cb5794834336c406", "fileid": "4358be84e8dcf0f6a1ad138ff32f2c8aaf2bb07137daa3c1ad15cc6d3465adf8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/novartis/actions/runs/27087526488" } ] }