{ "_id": "6a129e63acfb0bcc41d0fc89", "Type": "Package", "Package": "glmSparseNet", "Title": "Network Centrality Metrics for Elastic-Net Regularized Models", "Version": "1.31.0", "Authors@R": "c(\nperson(\"André\", \"Veríssimo\", , \"andre.verissimo@tecnico.ulisboa.pt\",\nrole = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-2212-339X\")),\nperson(\"Susana\", \"Vinga\", , \"susanavinga@tecnico.ulisboa.pt\", role = \"aut\"),\nperson(\"Eunice\", \"Carrasquinha\", , \"eunice.trigueirao@tecnico.ulisboa.pt\",\nrole = \"ctb\"),\nperson(\"Marta\", \"Lopes\", , \"marta.lopes@tecnico.ulisboa.pt\", role = \"ctb\")\n)", "Description": "glmSparseNet is an R-package that generalizes sparse\nregression models when the features (e.g. genes) have a graph\nstructure (e.g. protein-protein interactions), by including\nnetwork-based regularizers. glmSparseNet uses the glmnet\nR-package, by including centrality measures of the network as\npenalty weights in the regularization. The current version\nimplements regularization based on node degree, i.e. the\nstrength and/or number of its associated edges, either by\npromoting hubs in the solution or orphan genes in the solution.\nAll the glmnet distribution families are supported, namely\n\"gaussian\", \"poisson\", \"binomial\", \"multinomial\", \"cox\", and\n\"mgaussian\".", "License": "GPL-3", "URL": "https://www.github.com/sysbiomed/glmSparseNet", "BugReports": "https://www.github.com/sysbiomed/glmSparseNet/issues", "VignetteBuilder": "knitr", "RdMacros": "lifecycle", "biocViews": "Software, StatisticalMethod, DimensionReduction, Regression,\nClassification, Survival, Network, GraphAndNetwork", "Encoding": "UTF-8", "Language": "en-US", "LazyData": "false", "NeedsCompilation": "no", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.1", "Config/pak/sysreqs": "cmake make libbz2-dev libicu-dev libjpeg-dev\nliblzma-dev libpng-dev libxml2-dev libssl-dev libx11-dev\nxz-utils zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:48:45 UTC", "RemoteUrl": "https://github.com/bioc/glmSparseNet", "RemoteRef": "HEAD", "RemoteSha": "f9c60d0cc3a82fa4ce8c6886e7d24538e506a9f0", "Packaged": { "Date": "2026-05-24 06:23:15 UTC", "User": "root" }, "Author": "André Veríssimo [aut, cre] (ORCID:\n),\nSusana Vinga [aut],\nEunice Carrasquinha [ctb],\nMarta Lopes [ctb]", "Maintainer": "André Veríssimo ", "MD5sum": "1b91c79de9f36ac7c987f8b2411be15e", "_user": "bioc", "_type": "src", "_file": "glmSparseNet_1.31.0.tar.gz", "_fileid": "2bdfa3a160309e9275e227b05d39b1d312fa6339c5729bd5ddf17aae0715c8a1", "_filesize": 1819797, "_sha256": "2bdfa3a160309e9275e227b05d39b1d312fa6339c5729bd5ddf17aae0715c8a1", "_created": "2026-05-24T06:23:15.000Z", "_published": "2026-05-24T06:44:51.618Z", "_jobs": [ { "job": 77577085330, "time": 245, "config": "bioc-checks", "r": "4.6.0", "check": "WARNING", "artifact": "7182871453" }, { "job": 77577085325, "time": 349, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "ERROR", "artifact": "7182881825" }, { "job": 77577085334, "time": 398, "config": "linux-release-x86_64", "r": "4.6.0", "check": "ERROR", "artifact": "7182887066" }, { "job": 77577085345, "time": 216, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7182868384" }, { "job": 77577085335, "time": 153, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7182861437" }, { "job": 77576699567, "time": 452, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7182842691" }, { "job": 77577085328, "time": 208, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7182867532" }, { "job": 77577085360, "time": 1263, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7182972177" }, { "job": 77577085346, "time": 1078, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7182954174" }, { "job": 77577085368, "time": 938, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7182939895" } ], "_bioccheck": { "error": 0, "warning": 1, "note": 6 }, "_buildurl": "https://github.com/r-universe/bioc/actions/runs/26353781583", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/bioc/glmSparseNet", "_commit": { "id": "f9c60d0cc3a82fa4ce8c6886e7d24538e506a9f0", "author": "A Wokaty ", "committer": "A Wokaty ", "message": "bump x.y.z version to odd y following creation of RELEASE_3_23 branch\n", "time": 1777380525 }, "_maintainer": { "name": "André Veríssimo", "email": "andre.verissimo@tecnico.ulisboa.pt", "login": "averissimo", "description": "", "uuid": 211358, "orcid": "0000-0002-2212-339X" }, "_distro": "noble", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.3.0", "role": "Depends" }, { "package": "biomaRt", "role": "Imports" }, { "package": "checkmate", "role": "Imports" }, { "package": "dplyr", "role": "Imports" }, { "package": "forcats", "role": "Imports" }, { "package": "futile.logger", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "glue", "role": "Imports" }, { "package": "httr", "role": "Imports" }, { "package": "lifecycle", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "parallel", "role": "Imports" }, { "package": "readr", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "glmnet", "role": "Imports" }, { "package": "Matrix", "role": "Imports" }, { "package": "MultiAssayExperiment", "role": "Imports" }, { "package": "SummarizedExperiment", "role": "Imports" }, { "package": "survminer", "role": "Imports" }, { "package": "TCGAutils", "role": "Imports" }, { "package": "utils", "role": "Imports" }, { "package": "BiocStyle", "role": "Suggests" }, { "package": "curatedTCGAData", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "magrittr", "role": "Suggests" }, { "package": "reshape2", "role": "Suggests" }, { "package": "pROC", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "survival", "role": "Suggests" }, { "package": "testthat", "role": "Suggests" }, { "package": "VennDiagram", "role": "Suggests" }, { "package": "withr", "role": "Suggests" } ], "_owner": "bioc", "_selfowned": true, "_usedby": 1, "_updates": [ { "week": "2025-44", "n": 2 }, { "week": "2026-12", "n": 2 }, { "week": "2026-18", "n": 2 } ], "_tags": [], "_bioc": [ { "branch": "devel", "version": "1.31.0", "bioc": "3.24" }, { "branch": "release", "version": "1.30.0", "bioc": "3.23" } ], "_topics": [ "software", "statisticalmethod", "dimensionreduction", "regression", "classification", "survival", "network", "graphandnetwork" ], "_stars": 6, "_contributors": [ { "user": "averissimo", "count": 362, "uuid": 211358 }, { "user": "eunicecarrasquinha", "count": 20, "uuid": 20400477 }, { "user": "nturaga", "count": 14, "uuid": 2746443 }, { "user": "jwokaty", "count": 14, "uuid": 1744257 }, { "user": "svinga", "count": 9, "uuid": 17925154 }, { "user": "vobencha", "count": 2, "uuid": 2466173 }, { "user": "link-ny", "count": 1, "uuid": 4392950 } ], "_userbio": { "uuid": 2286807, "type": "organization", "name": "Bioconductor", "description": "Software for the analysis and comprehension of high-throughput genomic data" }, "_downloads": { "count": 820, "source": "https://www.bioconductor.org/packages/stats/bioc/glmSparseNet" }, "_mentions": 1, "_devurl": "https://github.com/sysbiomed/glmsparsenet", "_searchresults": 54, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/glmSparseNet.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "manual.pdf" ], "_homeurl": "https://github.com/sysbiomed/glmsparsenet", "_realowner": "bioc", "_cranurl": false, "_exports": [ "balancedCvFolds", "buildLambda", "buildStringNetwork", "cv.glmDegree", "cv.glmHub", "cv.glmOrphan", "cv.glmSparseNet", "degreeCor", "degreeCov", "ensemblGeneNames", "geneNames", "glmDegree", "glmHub", "glmOrphan", "glmSparseNet", "hallmarks", "heuristicScale", "hubHeuristic", "my.colors", "my.symbols", "myColors", "mySymbols", "networkCorParallel", "networkCovParallel", "networkOptions", "orphanHeuristic", "protein2EnsemblGeneNames", "separate2GroupsCox", "stringDBhomoSapiens" ], "_datasets": [ { "name": "string.network.700.cache", "title": "Cache of protein-protein network, as it takes some time to retrieve and process this will facilitate the vignette building", "object": "string.network.700.cache", "file": "string.network.700.cache.RData", "class": [ "dgCMatrix" ], "fields": [], "table": false, "tojson": false } ], "_help": [ { "page": "dot-baseDir", "title": "Change base dir for `.runCache", "topics": [ ".baseDir" ] }, { "page": "dot-biomartLoad", "title": "Common call to biomaRt to avoid repetitive code", "topics": [ ".biomartLoad" ] }, { "page": "dot-buildFunctionDigest", "title": "Build digest of function from the actual code", "topics": [ ".buildFunctionDigest" ] }, { "page": "dot-cacheCompression", "title": "Change cache.compression for run_cache", "topics": [ ".cacheCompression" ] }, { "page": "dot-calcPenalty", "title": "Calculate penalty based on data", "topics": [ ".calcPenalty" ] }, { "page": "dot-calculateResult", "title": "Calculate/load result and save if necessary", "topics": [ ".calculateResult" ] }, { "page": "dot-combinedScore", "title": "Calculate combined score for STRINGdb interactions", "topics": [ ".combinedScore" ] }, { "page": "dot-createDirectoryForCache", "title": "Create directories for cache", "topics": [ ".createDirectoryForCache" ] }, { "page": "dot-curlWorkaround", "title": "Workaround for bug with curl when fetching specific ensembl mirror", "topics": [ ".curlWorkaround" ] }, { "page": "dot-degreeGeneric", "title": "Generic function to calculate degree based on data", "topics": [ ".degreeGeneric" ] }, { "page": "dot-digestCache", "title": "Default digest method", "topics": [ ".digestCache" ] }, { "page": "dot-networkGenericParallel", "title": "Calculate the upper triu of the matrix", "topics": [ ".networkGenericParallel" ] }, { "page": "dot-networkWorker", "title": "Worker to calculate edge weight for each pair of ixI node and following", "topics": [ ".networkWorker" ] }, { "page": "dot-runCache", "title": "Run function and save cache", "topics": [ ".runCache", ".runCache,function-method" ] }, { "page": "dot-saveRunCache", "title": "Saving the cache", "topics": [ ".saveRunCache" ] }, { "page": "dot-showMessage", "title": "Show messages option in .runCache", "topics": [ ".showMessage" ] }, { "page": "dot-tempdirCache", "title": "Temporary directory for runCache", "topics": [ ".tempdirCache" ] }, { "page": "dot-writeReadme", "title": "Write a file in run-cache directory to explain the origin", "topics": [ ".writeReadme" ] }, { "page": "balancedCvFolds", "title": "Create balanced folds for cross validation using stratified sampling", "topics": [ "balanced.cv.folds", "balancedCvFolds" ] }, { "page": "buildLambda", "title": "Auxiliary function to generate suitable lambda parameters", "topics": [ "buildLambda" ] }, { "page": "buildStringNetwork", "title": "Build gene network from peptide ids", "topics": [ "buildStringNetwork" ] }, { "page": "cv.glmSparseNet", "title": "Calculate cross validating GLM model with network-based regularization", "topics": [ "cv.glmDegree", "cv.glmHub", "cv.glmOrphan", "cv.glmSparseNet" ] }, { "page": "degreeCor", "title": "Calculate the degree of the correlation network based on xdata", "topics": [ "degreeCor" ] }, { "page": "degreeCov", "title": "Calculate the degree of the covariance network based on xdata", "topics": [ "degreeCov" ] }, { "page": "downloadFileLocal", "title": "Download files to local temporary path", "topics": [ "downloadFileLocal" ] }, { "page": "ensemblGeneNames", "title": "Retrieve ensembl gene names from biomaRt", "topics": [ "ensemblGeneNames" ] }, { "page": "geneNames", "title": "Retrieve gene names from biomaRt", "topics": [ "geneNames" ] }, { "page": "glmSparseNet", "title": "Calculate GLM model with network-based regularization", "topics": [ "glmDegree", "glmHub", "glmOrphan", "glmSparseNet" ] }, { "page": "hallmarks", "title": "Retrieve hallmarks of cancer count for genes", "topics": [ "hallmarks" ] }, { "page": "heuristicScale", "title": "Heuristic function to use in high dimensions", "topics": [ "heuristicScale" ] }, { "page": "hubHeuristic", "title": "Heuristic function to penalize nodes with low degree", "topics": [ "hubHeuristic" ] }, { "page": "myColors", "title": "Custom pallete of colors", "topics": [ "my.colors", "myColors" ] }, { "page": "mySymbols", "title": "Custom pallete of symbols in plots", "topics": [ "my.symbols", "mySymbols" ] }, { "page": "networkCorParallel", "title": "Calculates the correlation network", "topics": [ "networkCorParallel" ] }, { "page": "networkCovParallel", "title": "Calculates the covariance network", "topics": [ "networkCovParallel" ] }, { "page": "networkOptions", "title": "Setup network options", "topics": [ "networkOptions" ] }, { "page": "orphanHeuristic", "title": "Heuristic function to penalize nodes with high degree", "topics": [ "orphanHeuristic" ] }, { "page": "protein2EnsemblGeneNames", "title": "Retrieve ensembl gene ids from proteins", "topics": [ "protein2EnsemblGeneNames" ] }, { "page": "separate2GroupsCox", "title": "Separate data in High and Low risk groups (based on Cox model)", "topics": [ "separate2GroupsCox" ] }, { "page": "string.network.700.cache", "title": "Cache of protein-protein network, as it takes some time to retrieve and process this will facilitate the vignette building", "topics": [ "string.network.700.cache" ] }, { "page": "stringDBhomoSapiens", "title": "Download protein-protein interactions from STRING DB", "topics": [ "stringDBhomoSapiens" ] } ], "_readme": "https://github.com/bioc/glmSparseNet/raw/HEAD/README.md", "_rundeps": [ "abind", "AnnotationDbi", "askpass", "backports", "BH", "Biobase", "BiocBaseUtils", "BiocFileCache", "BiocGenerics", "BiocIO", "BiocParallel", "biomaRt", "Biostrings", "bit", "bit64", "bitops", "blob", "boot", "broom", "cachem", "car", "carData", "checkmate", "cigarillo", "cli", "clipr", "codetools", "colorspace", "commonmark", "corrplot", "cowplot", "cpp11", "crayon", "curl", "DBI", "dbplyr", "DelayedArray", "Deriv", "doBy", "dplyr", "exactRankTests", "farver", "fastmap", "filelock", "forcats", "foreach", "forecast", "formatR", "Formula", "fracdiff", "futile.logger", "futile.options", "generics", "GenomeInfoDb", "GenomicAlignments", "GenomicDataCommons", "GenomicFeatures", "GenomicRanges", "ggplot2", "ggpubr", "ggrepel", "ggsci", "ggsignif", "ggtext", "glmnet", "glue", "gridExtra", "gridtext", "gtable", "hms", "httr", "httr2", "IRanges", "isoband", "iterators", "jpeg", "jsonlite", "KEGGREST", "labeling", "lambda.r", "lattice", "lifecycle", "litedown", "lme4", "lmtest", "magrittr", "markdown", "MASS", "Matrix", "MatrixGenerics", "MatrixModels", "matrixStats", "maxstat", "memoise", "mgcv", "microbenchmark", "mime", "minqa", "modelr", "MultiAssayExperiment", "mvtnorm", "nlme", "nloptr", "nnet", "numDeriv", "openssl", "pbkrtest", "pillar", "pkgconfig", "png", "polynom", "prettyunits", "progress", "purrr", "quantreg", "R6", "RaggedExperiment", "rappdirs", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "RCurl", "Rdpack", "readr", "reformulas", "restfulr", "Rhtslib", "rjson", "rlang", "Rsamtools", "RSQLite", "rstatix", "rtracklayer", "rvest", "S4Arrays", "S4Vectors", "S7", "scales", "selectr", "Seqinfo", "shape", "snow", "SparseArray", "SparseM", "stringi", "stringr", "SummarizedExperiment", "survival", "survminer", "sys", "TCGAutils", "tibble", "tidyr", "tidyselect", "timeDate", "tzdb", "UCSC.utils", "urca", "utf8", "vctrs", "viridisLite", "vroom", "withr", "xfun", "XML", "xml2", "XVector", "yaml", "zoo" ], "_vignettes": [ { "source": "example_brca_protein-protein-interactions_survival.Rmd", "filename": "example_brca_protein-protein-interactions_survival.html", "title": "Breast survival dataset using network from STRING DB", "author": "André Veríssimo", "engine": "knitr::rmarkdown", "headings": [ "Instalation", "Required Packages", "Overview", "Download Data from STRING", "Build network matrix", "Network Statistics", "Graph information", "Summary of degree (indegree + outdegree)", "Histogram of degree (up until 99.999% quantile)", "glmSparseNet", "Select balanced folds for cross-validation", "glmHub model", "glmOrphan model", "Elastic Net model (without network-penalization)", "Selected genes", "Session Info" ], "created": "2018-10-01 15:53:30", "modified": "2024-02-13 23:34:47", "commits": 24 }, { "source": "example_brca_logistic.Rmd", "filename": "example_brca_logistic.html", "title": "Example for Classification Data -- Breast Invasive Carcinoma", "author": "Marta Lopes and André Veríssimo", "engine": "knitr::rmarkdown", "headings": [ "Instalation", "Required Packages", "Load data", "Fit models", "Results of Cross Validation", "Coefficients of selected model from Cross-Validation", "Accuracy", "Session Info" ], "created": "2018-07-05 15:50:38", "modified": "2024-02-13 23:34:47", "commits": 44 }, { "source": "example_brca_survival.Rmd", "filename": "example_brca_survival.html", "title": "Example for Survival Data -- Breast Invasive Carcinoma", "author": "André Veríssimo", "engine": "knitr::rmarkdown", "headings": [ "Instalation", "Required Packages", "Load data", "Fit models", "Results of Cross Validation", "Coefficients of selected model from Cross-Validation", "Survival curves and Log rank test", "Session Info" ], "created": "2018-07-02 13:49:36", "modified": "2024-02-13 23:52:35", "commits": 47 }, { "source": "example_prad_survival.Rmd", "filename": "example_prad_survival.html", "title": "Example for Survival Data -- Prostate Adenocarcinoma", "author": "Marta Lopes and André Veríssimo", "engine": "knitr::rmarkdown", "headings": [ "Instalation", "Required Packages", "Load data", "Fit models", "Results of Cross Validation", "Coefficients of selected model from Cross-Validation", "Survival curves and Log rank test", "Session Info" ], "created": "2018-07-02 13:49:36", "modified": "2024-02-13 23:34:47", "commits": 45 }, { "source": "example_skcm_survival.Rmd", "filename": "example_skcm_survival.html", "title": "Example for Survival Data -- Skin Melanoma", "author": "Eunice Carrasquinha and André Veríssimo", "engine": "knitr::rmarkdown", "headings": [ "Instalation", "Required Packages", "Load data", "Fit models", "Results of Cross Validation", "Coefficients of selected model from Cross-Validation", "Survival curves and Log rank test", "Session Info" ], "created": "2018-07-02 13:49:36", "modified": "2024-02-13 23:34:47", "commits": 55 }, { "source": "separate2GroupsCox.Rmd", "filename": "separate2GroupsCox.html", "title": "Separate 2 groups in Cox regression", "author": "André Veríssimo", "engine": "knitr::rmarkdown", "headings": [ "Instalation", "Required Packages", "Prepare data", "Separate using age as co-variate", "Kaplan-Meier survival results", "Plot", "Separate using age as co-variate (group cutoff is 40% - 60%)", "Separate using age as co-variate (group cutoff is 60% - 40%)", "Session Info" ], "created": "2021-02-10 17:41:16", "modified": "2024-02-13 22:51:43", "commits": 12 } ], "_score": 7.720060024749244, "_indexed": true, "_nocasepkg": "glmsparsenet", "_universes": [ "bioc", "averissimo", "sysbiomed" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.31.0", "date": "2026-05-24T06:27:11.000Z", "distro": "noble", "commit": "f9c60d0cc3a82fa4ce8c6886e7d24538e506a9f0", "fileid": "25dccf1c79cd3e64e20fa52f5216995bb4d959afd78b45d5bbb6c81f3259807d", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26353781583" }, { "r": "4.6.0", "os": "linux", "version": "1.31.0", "date": "2026-05-24T06:27:28.000Z", "distro": "noble", "commit": "f9c60d0cc3a82fa4ce8c6886e7d24538e506a9f0", "fileid": "a97c0ba38b1a12e74265500f8a44044b196861fae028b6ae12247ae0b5bb4095", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26353781583" }, { "r": "4.5.3", "os": "mac", "version": "1.31.0", "date": "2026-05-24T06:25:37.000Z", "commit": "f9c60d0cc3a82fa4ce8c6886e7d24538e506a9f0", "fileid": "c390abe29c7913157f5dccade3566e67c79b13235df295151c3f6d2e0cd946f3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26353781583" }, { "r": "4.6.0", "os": "mac", "version": "1.31.0", "date": "2026-05-24T06:25:02.000Z", "commit": "f9c60d0cc3a82fa4ce8c6886e7d24538e506a9f0", "fileid": "9f2fa1dc95543ad99c459e5a968ebcc902407dabb94d833520bae0bed834d6c9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26353781583" }, { "r": "4.6.0", "os": "wasm", "version": "1.31.0", "date": "2026-05-24T06:26:59.000Z", "commit": "f9c60d0cc3a82fa4ce8c6886e7d24538e506a9f0", "fileid": "2751d304f49f46ff72f6c10162a9b94dfb48233933dc5c0fb34ebd42f09a695d", "status": "success", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26353781583" }, { "r": "4.7.0", "os": "win", "version": "1.31.0", "date": "2026-05-24T06:39:45.000Z", "commit": "f9c60d0cc3a82fa4ce8c6886e7d24538e506a9f0", "fileid": "1d9f3cb1c0b6822b00a9b06a94d25d15ab4794a5d142ffaf15284ec8931937a3", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26353781583" }, { "r": "4.5.3", "os": "win", "version": "1.31.0", "date": "2026-05-24T06:39:31.000Z", "commit": "f9c60d0cc3a82fa4ce8c6886e7d24538e506a9f0", "fileid": "6f92ee91f9d9550e8d36e55559fa51e7545a82fa24a58e63657ae0d2fa1477e4", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26353781583" }, { "r": "4.6.0", "os": "win", "version": "1.31.0", "date": "2026-05-24T06:37:51.000Z", "commit": "f9c60d0cc3a82fa4ce8c6886e7d24538e506a9f0", "fileid": "0b95b9e123de166723cdd37c7c5c155221268fee074ac149d74e214c82f2f216", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/bioc/actions/runs/26353781583" } ] }