{ "_id": "6a1a75561d7bb097a09d1da8", "Package": "BPRMeth", "Type": "Package", "Title": "Model higher-order methylation profiles", "Version": "1.38.0", "Authors@R": "person(\"C. A.\", \"Kapourani\", email = \"kapouranis.andreas@gmail.com\",\nrole = c(\"aut\", \"cre\"))", "Author": "Chantriolnt-Andreas Kapourani [aut, cre]", "Maintainer": "Chantriolnt-Andreas Kapourani\n", "Description": "The BPRMeth package is a probabilistic method to quantify\nexplicit features of methylation profiles, in a way that would\nmake it easier to formally use such profiles in downstream\nmodelling efforts, such as predicting gene expression levels or\nclustering genomic regions or cells according to their\nmethylation profiles.", "License": "GPL-3 | file LICENSE", "Encoding": "UTF-8", "LazyData": "true", "RoxygenNote": "7.1.0", "VignetteBuilder": "knitr", "biocViews": "ImmunoOncology, DNAMethylation, GeneExpression,\nGeneRegulation, Epigenetics, Genetics, Clustering,\nFeatureExtraction, Regression, RNASeq, Bayesian, KEGG,\nSequencing, Coverage, SingleCell", "PackageStatus": "Deprecated", "Config/pak/sysreqs": "cmake make libuv1-dev", "Repository": "https://bioc-release.r-universe.dev", "Date/Publication": "2026-04-28 12:44:41 UTC", "RemoteUrl": "https://github.com/bioc/BPRMeth", "RemoteRef": "RELEASE_3_23", "RemoteSha": "789a5fba5d6704a7bf8bdf07357f5e791a0f5f89", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-28 14:32:53 UTC", "User": "root" }, "MD5sum": "d055bba5c9c3ca6aaa9027fdc46abba0", "_user": "bioc-release", "_type": "src", "_file": "BPRMeth_1.38.0.tar.gz", "_fileid": "0121363e501fbec0236f098dcf3d2197ff1dfb96deac8637da251abb37e02e81", "_filesize": 3193289, "_sha256": "0121363e501fbec0236f098dcf3d2197ff1dfb96deac8637da251abb37e02e81", "_created": "2026-05-28T14:32:53.000Z", "_published": "2026-05-30T05:27:50.764Z", "_jobs": [ { "job": 78626267667, "time": 204, "config": "bioc-checks", "r": "4.6.0", "check": "WARNING", "artifact": "7268757527" }, { "job": 78626267492, "time": 215, "config": "linux-devel-arm64", "r": "4.7.0", "check": "ERROR", "artifact": "7305636970" }, { "job": 78626267493, "time": 275, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "ERROR", "artifact": "7305643191" }, { "job": 78626267488, "time": 201, "config": "linux-release-arm64", "r": "4.6.0", "check": "ERROR", "artifact": "7305635430" }, { "job": 78626267494, "time": 200, "config": "linux-release-x86_64", "r": "4.6.0", "check": "ERROR", "artifact": "7305635247" }, { "job": 78626267483, "time": 100, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "FAIL", "artifact": "" }, { "job": 78626267472, "time": 352, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "FAIL", "artifact": "" }, { "job": 78626267480, "time": 159, "config": "macos-release-arm64", "r": "4.6.0", "check": "ERROR", "artifact": "7305658616" }, { "job": 78626267468, "time": 382, "config": "macos-release-x86_64", "r": "4.6.0", "check": "ERROR", "artifact": "7305679940" }, { "job": 78626267481, "time": 264, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7268672353" }, { "job": 78626267720, "time": 141, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7268733138" }, { "job": 78626267474, "time": 276, "config": "windows-devel", "r": "4.7.0", "check": "ERROR", "artifact": "7305643392" }, { "job": 78626267467, "time": 74, "config": "windows-oldrel", "r": "4.5.3", "check": "FAIL", "artifact": "" }, { "job": 78626267470, "time": 179, "config": "windows-release", "r": "4.6.0", "check": "ERROR", "artifact": "7305633193" } ], "_bioccheck": { "error": 0, "warning": 1, "note": 17 }, "_buildurl": "https://github.com/r-universe/bioc-release/actions/runs/26581041616", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/bioc/BPRMeth", "_commit": { "id": "789a5fba5d6704a7bf8bdf07357f5e791a0f5f89", "author": "A Wokaty ", "committer": "A Wokaty ", "message": "bump x.y.z version to even y prior to creation of RELEASE_3_23 branch\n", "time": 1777380281 }, "_maintainer": { "name": "Chantriolnt-Andreas Kapourani", "email": "kapouranis.andreas@gmail.com", "login": "andreaskapou", "twitter": "@AndreasKapou", "description": "Post-doctoral fellow @EdinburghUni, @VallejosGroup and Neil Henderson. Machine learning and statistical modelling of single-cell genomics.", "uuid": 10403733 }, "_distro": "noble", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "GenomicRanges", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "assertthat", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "doParallel", "role": "Imports" }, { "package": "parallel", "role": "Imports" }, { "package": "e1071", "role": "Imports" }, { "package": "earth", "role": "Imports" }, { "package": "foreach", "role": "Imports" }, { "package": "randomForest", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "IRanges", "role": "Imports" }, { "package": "S4Vectors", "role": "Imports" }, { "package": "data.table", "role": "Imports" }, { "package": "graphics", "role": "Imports" }, { "package": "truncnorm", "role": "Imports" }, { "package": "mvtnorm", "role": "Imports" }, { "package": "Rcpp", "version": ">= 0.12.14", "role": "Imports" }, { "package": "matrixcalc", "role": "Imports" }, { "package": "magrittr", "role": "Imports" }, { "package": "kernlab", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "cowplot", "role": "Imports" }, { "package": "BiocStyle", "role": "Imports" }, { "package": "testthat", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" } ], "_owner": "bioc", "_selfowned": false, "_usedby": 0, "_updates": [ { "week": "2025-44", "n": 2 }, { "week": "2026-11", "n": 1 }, { "week": "2026-18", "n": 1 } ], "_tags": [], "_topics": [ "immunooncology", "dnamethylation", "geneexpression", "generegulation", "epigenetics", "genetics", "clustering", "featureextraction", "regression", "rnaseq", "bayesian", "kegg", "sequencing", "coverage", "singlecell", "openblas", "cpp" ], "_userbio": { "uuid": 2286807, "type": "organization", "name": "Bioconductor", "description": "Software for the analysis and comprehension of high-throughput genomic data" }, "_downloads": { "count": 373, "source": "https://www.bioconductor.org/packages/stats/bioc/BPRMeth" }, "_mentions": 2, "_searchresults": 102, "_rbuild": "4.6.0", "_assets": [ "extra/BPRMeth.html", "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", "manual.pdf" ], "_cranurl": false, "_exports": [ "betareg_gradient", "betareg_log_likelihood", "boxplot_cluster_expr", "bpr_cluster_wrap", "bpr_gradient", "bpr_log_likelihood", "bpr_optim", "bpr_predict_wrap", "cluster_profiles_mle", "cluster_profiles_vb", "create_anno_region", "create_fourier_object", "create_polynomial_object", "create_rbf_object", "create_region_object", "design_matrix", "eval_function", "eval_probit_function", "impute_bulk_met", "infer_profiles_gibbs", "infer_profiles_mle", "infer_profiles_vb", "inner_predict_model_expr", "inner_train_model_expr", "lr_log_likelihood", "old_boxplot_cluster_gex", "old_plot_cluster_prof", "old_plot_fitted_profiles", "partition_bulk_dataset", "plot_cluster_profiles", "plot_infer_profiles", "plot_predicted_expr", "pool_bs_seq_rep", "predict_expr", "preprocess_bs_seq", "preprocess_final_HTS_data", "process_haib_caltech_wrap", "read_anno", "read_bs_encode_haib", "read_chrom_size", "read_expr", "read_met", "read_rna_encode_caltech", "sum_weighted_betareg_grad", "sum_weighted_betareg_lik", "sum_weighted_bpr_grad", "sum_weighted_bpr_lik" ], "_datasets": [ { "name": "bernoulli_data", "title": "Synthetic Bernoulli data", "object": "bernoulli_data", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "beta_data", "title": "Synthetic Beta data", "object": "beta_data", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "binomial_data", "title": "Synthetic Binomial data", "object": "binomial_data", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "encode_expr", "title": "Processed ENCODE expression data", "object": "encode_expr", "class": [ "data.table", "data.frame" ], "fields": [ "id", "expr" ], "rows": 1517, "table": true, "tojson": true }, { "name": "encode_met", "title": "Processed ENCODE methylation data", "object": "encode_met", "class": [ "list" ], "fields": [], "table": false, "tojson": false }, { "name": "gaussian_data", "title": "Synthetic Gaussian data", "object": "gaussian_data", "class": [ "list" ], "fields": [], "table": false, "tojson": true }, { "name": "gex_data", "title": "Synthetic expression data", "object": "gex_data", "class": [ "numeric" ], "fields": [], "table": false, "tojson": true }, { "name": "meth_data", "title": "Synthetic bulk methylation data", "object": "meth_data", "class": [ "list" ], "fields": [], "table": false, "tojson": true } ], "_help": [ { "page": "bernoulli_data", "title": "Synthetic Bernoulli data", "topics": [ "bernoulli_data" ] }, { "page": "beta_data", "title": "Synthetic Beta data", "topics": [ "beta_data" ] }, { "page": "binomial_data", "title": "Synthetic Binomial data", "topics": [ "binomial_data" ] }, { "page": "boxplot_cluster_expr", "title": "Boxplot of clustered expression levels", "topics": [ "boxplot_cluster_expr" ] }, { "page": "bpr_cluster_wrap", "title": "(DEPRECATED) Cluster methylation profiles", "topics": [ "bpr_cluster_wrap" ] }, { "page": "model_log_likelihood", "title": "Compute observation model log-likelihood", "topics": [ "betareg_gradient", "betareg_log_likelihood", "bpr_gradient", "bpr_log_likelihood", "lr_log_likelihood", "model_likelihood", "model_log_likelihood", "obs_log_likelihood", "obs_model_likelihood", "sum_weighted_betareg_grad", "sum_weighted_betareg_lik", "sum_weighted_bpr_grad", "sum_weighted_bpr_lik" ] }, { "page": "bpr_optimize", "title": "(DEPRECATED) Optimize BPR negative log likelihood function", "topics": [ "bpr_optim", "bpr_optim.list", "bpr_optim.matrix", "bpr_optimise", "bpr_optimize" ] }, { "page": "bpr_predict_wrap", "title": "(DEPRECATED) Predict gene expression from methylation profiles", "topics": [ "bpr_predict_wrap" ] }, { "page": "BPRMeth", "title": "'BPRMeth': Extracting higher order methylation features", "topics": [ ".datatable.aware", "BPRMeth" ] }, { "page": "cluster_profiles_mle", "title": "Cluster methylation profiles using EM", "topics": [ "cluster_mle", "cluster_profiles_mle", "cluster_profile_mle" ] }, { "page": "cluster_profiles_vb", "title": "Cluster methylation profiles using VB", "topics": [ "cluster_profiles_vb", "cluster_profile_vb", "cluster_vb" ] }, { "page": "create_anno_region", "title": "Create annotation regions", "topics": [ "create_anno_region" ] }, { "page": "create_basis", "title": "Create basis objects", "topics": [ "basis", "create_basis", "create_basis_function", "create_fourier_object", "create_polynomial_object", "create_rbf_object" ] }, { "page": "create_region_object", "title": "Create genomic region data", "topics": [ "create_region", "create_region_obj", "create_region_object", "genomic_region", "met_region", "region_object" ] }, { "page": "design_matrix", "title": "Generic function for creating design matrices", "topics": [ "designmatrix", "design_matrix", "design_matrix.default", "design_matrix.fourier", "design_matrix.polynomial", "design_matrix.rbf", "des_mat", "des_matrix" ] }, { "page": "encode_expr", "title": "Processed ENCODE expression data", "topics": [ "encode_expr" ] }, { "page": "encode_met", "title": "Processed ENCODE methylation data", "topics": [ "encode_met" ] }, { "page": "eval_functions", "title": "Evaluate basis functions", "topics": [ "eval_function", "eval_function.fourier", "eval_function.polynomial", "eval_function.rbf", "eval_functions", "eval_probit_function" ] }, { "page": "gaussian_data", "title": "Synthetic Gaussian data", "topics": [ "gaussian_data" ] }, { "page": "gex_data", "title": "Synthetic expression data", "topics": [ "gex_data" ] }, { "page": "impute_bulk_met", "title": "Impute/predict bulk methylation states", "topics": [ "impute_bulk_met" ] }, { "page": "infer_profiles_gibbs", "title": "Infer methylation profiles using Gibbs sampling", "topics": [ "inference_gibbs", "infer_profiles_gibbs", "infer_profile_gibbs" ] }, { "page": "infer_profiles_mle", "title": "Infer methylation profiles using MLE", "topics": [ "inference_mle", "infer_profiles_mle", "infer_profile_mle" ] }, { "page": "infer_profiles_vb", "title": "Infer methylation profiles using VB", "topics": [ "inference_vb", "infer_profiles_vb", "infer_profile_vb" ] }, { "page": "inner_predict_model_expr", "title": "(INNER) Predict expression", "topics": [ "inner_predict_model_expr" ] }, { "page": "inner_train_model_expr", "title": "(INNER) Train expression model from methylation profiles", "topics": [ "inner_train_model_expr" ] }, { "page": "meth_data", "title": "Synthetic bulk methylation data", "topics": [ "meth_data" ] }, { "page": "old_boxplot_cluster_gex", "title": "(DEPRECATED) Boxplot of clustered expression levels", "topics": [ "old_boxplot_cluster_gex" ] }, { "page": "old_plot_cluster_prof", "title": "(DEPRECATED) Plot of clustered methylation profiles", "topics": [ "old_plot_cluster_prof" ] }, { "page": "old_plot_fitted_profiles", "title": "(DEPRECATED) Plot the fit of methylation profiles across a region", "topics": [ "old_plot_fitted_profiles" ] }, { "page": "partition_bulk_dataset", "title": "Partition bulk methylation dataset to training and test set", "topics": [ "partition_bulk_dataset" ] }, { "page": "plot_cluster_profiles", "title": "Plot clustered methylation profiles across a region", "topics": [ "plot_cluster_profiles" ] }, { "page": "plot_infer_profiles", "title": "Plot inferred methylation profiles across a region", "topics": [ "plot_infer_profiles" ] }, { "page": "plot_predicted_expr", "title": "Scatter plot of predicted vs measured gene expression levels", "topics": [ "plot_predicted_expr" ] }, { "page": "pool_bs_seq_rep", "title": "(DEPRECATED) Read and pool replicates from BS-Seq data", "topics": [ "pool_bs_seq_rep" ] }, { "page": "predict_expr", "title": "Predict gene expression from methylation profiles", "topics": [ "predict_expr" ] }, { "page": "preprocess_bs_seq", "title": "(DEPRECATED) Pre-process BS-Seq data in any given format", "topics": [ "preprocess_bs_seq" ] }, { "page": "preprocess_final_HTS_data", "title": "(DEPRECATED) Pre-process final HTS data for downstream analysis", "topics": [ "preprocess_final_HTS_data" ] }, { "page": "process_haib_caltech_wrap", "title": "(DEPRECATED) Wrapper for processing ENCODE HAIB and Caltech HTS", "topics": [ "process_haib_caltech_wrap" ] }, { "page": "read_anno", "title": "Read annotation file", "topics": [ "read_anno" ] }, { "page": "read_bs_encode_haib", "title": "(DEPRECATED) Read ENCODE HAIB bed formatted BS-Seq file", "topics": [ "read_bs_encode_haib" ] }, { "page": "read_chrom_size", "title": "Read genome chromosome sizes file", "topics": [ "read_chrom_size" ] }, { "page": "read_expr", "title": "Read expression data file", "topics": [ "read_expr" ] }, { "page": "read_met", "title": "Read methylation file", "topics": [ "read_met" ] }, { "page": "read_rna_encode_caltech", "title": "(DEPRECATED) Read ENCODE Caltech bed formatted RNA-Seq file", "topics": [ "read_rna_encode_caltech" ] } ], "_readme": "https://github.com/bioc/BPRMeth/raw/RELEASE_3_23/README.md", "_rundeps": [ "assertthat", "base64enc", "BiocGenerics", "BiocManager", "BiocStyle", "bookdown", "bslib", "cachem", "class", "cli", "codetools", "cowplot", "cpp11", "data.table", "digest", "doParallel", "e1071", "earth", "evaluate", "farver", "fastmap", "fontawesome", "foreach", "Formula", "fs", "generics", "GenomicRanges", "ggplot2", "glue", "gtable", "highr", "htmltools", "IRanges", "isoband", "iterators", "jquerylib", "jsonlite", "kernlab", "knitr", "labeling", "lifecycle", "magrittr", "MASS", "matrixcalc", "memoise", "mime", "mvtnorm", "plotmo", "plotrix", "proxy", "R6", "randomForest", "rappdirs", "RColorBrewer", "Rcpp", "RcppArmadillo", "rlang", "rmarkdown", "S4Vectors", "S7", "sass", "scales", "Seqinfo", "tinytex", "truncnorm", "vctrs", "viridisLite", "withr", "xfun", "yaml" ], "_sysdeps": [ { "shlib": "libblas", "package": "libopenblas0-pthread", "source": "openblas", "version": "0.3.26+ds-1ubuntu0.1", "name": "openblas", "homepage": "https://www.openblas.net/", "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)" }, { "shlib": "libstdc++", "package": "libstdc++6", "source": "gcc", "version": "14.2.0-4ubuntu2~24.04.1", "name": "c++", "homepage": "http://gcc.gnu.org/", "description": "GNU Standard C++ Library v3" } ], "_vignettes": [ { "source": "BPRMeth_vignette.Rmd", "filename": "BPRMeth_vignette.html", "title": "Modelling methylation profiles", "author": "Andreas C. Kapourani, Guido Sanguinetti", "engine": "knitr::rmarkdown", "headings": [ "Installation", "Introduction", "Background", "Sample data", "Load preprocessed data", "Methylation data", "Read methylation and annotation data (Do not run)", "Expression data", "Create basis objects", "Inferring methylation profiles", "Applications", "Predicting gene expression", "Clustering methylation profiles", "Beta methylation profiles", "Bernoulli methylation profiles", "Session Info", "Bibliography", "Acknowledgements" ], "created": "2018-01-09 22:02:45", "modified": "2020-06-10 16:32:32", "commits": 16 } ], "_score": 4.485721426481581, "_indexed": false, "_nocasepkg": "bprmeth", "_universes": [ "bioc-release" ], "_binaries": [ { "r": "4.5.3", "os": "mac", "version": "1.36.0", "date": "2026-03-24T08:08:05.000Z", "arch": "aarch64", "commit": "e6cdcc92226f9df3f84cd7bad0f0d656f2908bf6", "fileid": "0cc1260267ec69a31d5229ba7929c738e27f41f674dc98f17389cd5503d06357", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc-release/actions/runs/23479053505" }, { "r": "4.5.3", "os": "mac", "version": "1.36.0", "date": "2026-03-24T08:10:02.000Z", "arch": "x86_64", "commit": "e6cdcc92226f9df3f84cd7bad0f0d656f2908bf6", "fileid": "d4b203b692d6cf83d4b6b07ff842d510bd1a7c065c5d8c5e26aa96191b72fbb7", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc-release/actions/runs/23479053505" }, { "r": "4.5.3", "os": "win", "version": "1.36.0", "date": "2026-03-24T08:05:52.000Z", "arch": "x86_64", "commit": "e6cdcc92226f9df3f84cd7bad0f0d656f2908bf6", "fileid": "c4a8891310d5f230a3008fb3a5d2c81259509ce6f57121dcf65a4be7980c3290", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc-release/actions/runs/23479053505" }, { "r": "4.7.0", "os": "linux", "version": "1.38.0", "date": "2026-05-30T05:19:17.000Z", "distro": "noble", "arch": "aarch64", "commit": "789a5fba5d6704a7bf8bdf07357f5e791a0f5f89", "fileid": "10d775ca8e1ee4feb211066acb1a2b247c5d9746a901e5ad66561f40a2bdacc2", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc-release/actions/runs/26581041616" }, { "r": "4.7.0", "os": "linux", "version": "1.38.0", "date": "2026-05-30T05:20:03.000Z", "distro": "noble", "arch": "x86_64", "commit": "789a5fba5d6704a7bf8bdf07357f5e791a0f5f89", "fileid": "196d968d5ac8416f075c6ebb94ab61a7fe4c633ac3e20c4baca043c9148d439d", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc-release/actions/runs/26581041616" }, { "r": "4.6.0", "os": "linux", "version": "1.38.0", "date": "2026-05-30T05:19:03.000Z", "distro": "noble", "arch": "aarch64", "commit": "789a5fba5d6704a7bf8bdf07357f5e791a0f5f89", "fileid": "00c0b2c0722011f93efa302f5f7d0845e37afcb34780360a0dbc63045ce71664", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc-release/actions/runs/26581041616" }, { "r": "4.6.0", "os": "linux", "version": "1.38.0", "date": "2026-05-30T05:18:56.000Z", "distro": "noble", "arch": "x86_64", "commit": "789a5fba5d6704a7bf8bdf07357f5e791a0f5f89", "fileid": "f2df45ec814b9e1659a19f12efafc76db88537e235b9c4c8b712352d38c76e40", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc-release/actions/runs/26581041616" }, { "r": "4.6.0", "os": "mac", "version": "1.38.0", "date": "2026-05-30T05:22:47.000Z", "arch": "aarch64", "commit": "789a5fba5d6704a7bf8bdf07357f5e791a0f5f89", "fileid": "d89eb9b481f0eac97109b96f3850c1a23ba8c601ffe1d017b8fab92f5f441e6d", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc-release/actions/runs/26581041616" }, { "r": "4.6.0", "os": "mac", "version": "1.38.0", "date": "2026-05-30T05:24:34.000Z", "arch": "x86_64", "commit": "789a5fba5d6704a7bf8bdf07357f5e791a0f5f89", "fileid": "7319e75cddb608fb314c4f453d6e9d350fff074163fc84836a9644e7e08435e9", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc-release/actions/runs/26581041616" }, { "r": "4.6.0", "os": "wasm", "version": "1.38.0", "date": "2026-05-28T14:35:45.000Z", "arch": "emscripten", "commit": "789a5fba5d6704a7bf8bdf07357f5e791a0f5f89", "fileid": "104ca25313714bb7200938e5b041f66ad6f9c837da490137fe83983148a5a494", "status": "success", "buildurl": "https://github.com/r-universe/bioc-release/actions/runs/26581041616" }, { "r": "4.7.0", "os": "win", "version": "1.38.0", "date": "2026-05-30T05:19:50.000Z", "arch": "x86_64", "commit": "789a5fba5d6704a7bf8bdf07357f5e791a0f5f89", "fileid": "bdbdf629a86732cbc44e736dec61f75bda822e9cf5b8e340b30d721ef6bc09a5", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc-release/actions/runs/26581041616" }, { "r": "4.6.0", "os": "win", "version": "1.38.0", "date": "2026-05-30T05:17:53.000Z", "arch": "x86_64", "commit": "789a5fba5d6704a7bf8bdf07357f5e791a0f5f89", "fileid": "d46284ae9e4ca1fe83d35128d33a432d7d750d929262c1cddd72c75784cb93fa", "status": "failure", "check": "ERROR", "buildurl": "https://github.com/r-universe/bioc-release/actions/runs/26581041616" } ] }