{ "_id": "6ad352d76fd9391477c95898", "Package": "paweh", "Title": "Power and Sample Size Analysis for Genetic Studies with\nHeterogeneity and Misclassification", "Version": "0.99.0", "Authors@R": "c(\nperson(\ngiven = \"Akil\",\nfamily = \"Anthony\",\nemail = \"akilanthony19@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0008-8813-8560\")\n),\nperson(\ngiven = \"Derek\",\nfamily = \"Gordon\",\nrole = \"aut\"\n)\n)", "Description": "Provides prospective power and minimum sample size\nnecessary (MSSN) calculations for genetic and genomic\nassociation study design. Supported designs include\ncase-control studies, transmission disequilibrium tests with\naffected-child trios, and single- and multivariate\nquantitative-trait studies. The package emphasizes selected\ndepartures from idealized assumptions, including locus\nheterogeneity and supported forms of genotype and phenotype\nmisclassification. These factors can materially affect power\nand sample-size requirements but can be difficult to\nincorporate analytically. Published statistical-genetics\nmethods are implemented in a reproducible, primarily parameter-\nand model-based framework with static visualizations and an\noptional Shiny dashboard for interactive exploration. The\nsoftware supports prospective study planning; it does not\nperform downstream association testing.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "URL": "https://github.com/akilanthony/paweh,\nhttps://akilanthony.github.io/paweh/", "BugReports": "https://github.com/akilanthony/paweh/issues", "biocViews": "ExperimentalDesign, Genetics, GenomeWideAssociation,\nShinyApps", "Roxygen": "list(markdown = TRUE)", "Config/testthat/edition": "3", "VignetteBuilder": "knitr", "Config/roxygen2/version": "8.1.0", "Config/pak/sysreqs": "cmake make libuv1-dev zlib1g-dev", "Repository": "https://biocstaging.r-universe.dev", "Date/Publication": "2026-09-17 13:18:55 UTC", "RemoteUrl": "https://github.com/BiocStaging/paweh", "RemoteRef": "HEAD", "RemoteSha": "7a5ed7bdfcab9f9f63e7e260204058bfcadf9cce", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-17 10:43:49 UTC", "User": "root" }, "Author": "Akil Anthony [aut, cre] (ORCID:\n),\nDerek Gordon [aut]", "Maintainer": "Akil Anthony ", "_user": "biocstaging", "_type": "src", "_file": "paweh_0.99.0.tar.gz", "_fileid": "https://r2.ropensci.org/797f3a5815bb05cb7b86e641b6fa61d986ce967c2a0092e09726a34deb0cda3e", "_filesize": 2627644, "_sha256": "797f3a5815bb05cb7b86e641b6fa61d986ce967c2a0092e09726a34deb0cda3e", "_expires": "2027-01-25T10:49:57.000Z", "_created": "2026-10-17T10:43:49.000Z", "_published": "2026-10-17T10:49:59.589Z", "_buildurl": "https://github.com/r-universe/biocstaging/actions/runs/39025771132", "_status": "success", "_host": "GitHub-Actions", "_bioccheck": { "error": 0, "warning": 1, "note": 9 }, "_upstream": "https://github.com/BiocStaging/paweh", "_commit": { "id": "7a5ed7bdfcab9f9f63e7e260204058bfcadf9cce", "author": "Akil Anthony ", "committer": "Akil Anthony ", "message": "Fix cross-platform TDT-NGS numeric tests\n", "time": 1789651135 }, "_maintainer": { "name": "Akil Anthony", "email": "akilanthony19@gmail.com", "login": "akilanthony", "orcid": "0009-0008-8813-8560", "description": "Clinical Research Associate | Clinical outcomes research, biostatistics, and statistical genetics.", "uuid": 240333508 }, "_distro": "resolute", "_jobs": [ { "job": 117377093129, "time": 155, "config": "bioc-checks", "r": "4.6.1", "check": "WARNING", "artifact": "12097998321" }, { "job": 117377093243, "time": 242, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12098199275" }, { "job": 117377093281, "time": 180, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12098886343" }, { "job": 117377093207, "time": 193, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "12098737503" }, { "job": 117377093176, "time": 183, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "12098557857" }, { "job": 117376390130, "time": 230, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "12098253839" }, { "job": 117377093217, "time": 108, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "12098975897" }, { "job": 117377093164, "time": 161, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "12098189287" }, { "job": 117377093155, "time": 249, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "12099040544" }, { "job": 117377093251, "time": 231, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "12098199247" } ], "_registered": true, "_dependencies": [ { "package": "bslib", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" }, { "package": "mvtnorm", "role": "Imports" }, { "package": "rlang", "role": "Imports" }, { "package": "shiny", "role": "Imports" }, { "package": "withr", "role": "Imports" }, { "package": "BiocStyle", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "plotly", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" } ], "_owner": "biocstaging", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-46", "n": 16 }, { "week": "2025-49", "n": 14 }, { "week": "2025-50", "n": 2 }, { "week": "2026-07", "n": 5 }, { "week": "2026-24", "n": 2 }, { "week": "2026-25", "n": 1 }, { "week": "2026-31", "n": 2 }, { "week": "2026-32", "n": 5 }, { "week": "2026-33", "n": 10 }, { "week": "2026-34", "n": 6 }, { "week": "2026-35", "n": 9 }, { "week": "2026-36", "n": 4 }, { "week": "2026-37", "n": 8 }, { "week": "2026-38", "n": 9 } ], "_tags": [], "_topics": [ "experimentaldesign", "genetics", "genomewideassociation", "shinyapps" ], "_stars": 0, "_contributors": [ { "user": "akilanthony", "count": 152, "uuid": 240333508 } ], "_userbio": { "uuid": 278472782, "type": "organization", "name": "BiocStaging", "followers": 2 }, "_downloads": { "count": 0, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/paweh" }, "_devurl": "https://github.com/akilanthony/paweh", "_pkgdown": "https://akilanthony.github.io/paweh/", "_searchresults": 0, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/paweh.html", "extra/readme.html", "extra/readme.md", "LICENSE" ], "_cranurl": false, "_exports": [ "cc_chisq_mssn_genotype_misclassification_1p", "cc_chisq_mssn_genotype_misclassification_2p", "cc_chisq_mssn_genotype_misclassification_3p", "cc_chisq_mssn_genotype_misclassification_differential_3p", "cc_chisq_mssn_locus_heterogeneity", "cc_chisq_mssn_phenotype_misclassification", "cc_chisq_power_genotype_misclassification_1p", "cc_chisq_power_genotype_misclassification_2p", "cc_chisq_power_genotype_misclassification_3p", "cc_chisq_power_genotype_misclassification_differential_3p", "cc_chisq_power_locus_heterogeneity", "cc_chisq_power_phenotype_misclassification", "cc_mssn", "cc_ngs_mssn", "cc_ngs_power", "cc_power", "cc_trend_mssn_locus_heterogeneity", "cc_trend_power_locus_heterogeneity", "lrtae_mssn", "lrtae_ncp", "lrtae_power", "ngs_genotype_error_matrix", "paweh_app", "plot_cc_mssn", "plot_cc_power", "plot_ngs_mssn", "plot_ngs_power", "plot_qtl_anova_mssn", "plot_qtl_anova_power", "plot_qtl_genotype_distribution", "plot_qtl_threshold_chisq_mssn", "plot_qtl_threshold_chisq_power", "plot_tdt_mssn", "plot_tdt_mssn_locus_heterogeneity", "plot_tdt_mssn_phenotype_misclassification", "plot_tdt_power", "plot_tdt_power_locus_heterogeneity", "plot_tdt_power_phenotype_misclassification", "plot_tdt_surface3d", "qtl_anova_mssn", "qtl_anova_power", "qtl_falconer_parameters", "qtl_falconer_threshold_parameters", "qtl_multivariate_mssn_full", "qtl_multivariate_power_full", "qtl_threshold_chisq_mssn", "qtl_threshold_chisq_power", "tdt_expected_nontransmission_probability", "tdt_expected_transmission_counts", "tdt_expected_transmission_probability", "tdt_mssn", "tdt_mssn_from_model", "tdt_mssn_phenotype_misclassification_from_ncp", "tdt_ngs_mssn", "tdt_ngs_power", "tdt_power", "tdt_power_from_expected_counts", "tdt_power_from_model" ], "_help": [ { "page": "case_control_genotype_misclassification", "title": "Specialized Case-Control Genotype Misclassification Functions", "topics": [ "case_control_genotype_misclassification", "cc_chisq_mssn_genotype_misclassification_1p", "cc_chisq_mssn_genotype_misclassification_2p", "cc_chisq_mssn_genotype_misclassification_3p", "cc_chisq_mssn_genotype_misclassification_differential_3p", "cc_chisq_power_genotype_misclassification_1p", "cc_chisq_power_genotype_misclassification_2p", "cc_chisq_power_genotype_misclassification_3p", "cc_chisq_power_genotype_misclassification_differential_3p" ] }, { "page": "case_control_locus_heterogeneity", "title": "Specialized Case-Control Locus-Heterogeneity Functions", "topics": [ "case_control_locus_heterogeneity", "cc_chisq_mssn_locus_heterogeneity", "cc_chisq_power_locus_heterogeneity", "cc_trend_mssn_locus_heterogeneity", "cc_trend_power_locus_heterogeneity" ] }, { "page": "case_control_phenotype_misclassification", "title": "Specialized Case-Control Phenotype Misclassification Functions", "topics": [ "case_control_phenotype_misclassification", "cc_chisq_mssn_phenotype_misclassification", "cc_chisq_power_phenotype_misclassification" ] }, { "page": "cc_mssn", "title": "Case-Control Minimum Sample Size for Conditional Genotype Frequencies", "topics": [ "cc_mssn" ] }, { "page": "cc_ngs_mssn", "title": "Analytic MSSN for a Case-Control Sequencing Study", "topics": [ "cc_ngs_mssn" ] }, { "page": "cc_ngs_power", "title": "Analytic Power for a Case-Control Sequencing Study", "topics": [ "cc_ngs_power" ] }, { "page": "cc_power", "title": "Case-Control Power for Conditional Genotype Frequencies", "topics": [ "cc_power" ] }, { "page": "lrtae_mssn", "title": "Minimum Total Sample Size for an LRTae Design", "topics": [ "lrtae_mssn" ] }, { "page": "lrtae_ncp", "title": "Noncentrality Parameter for Prospective LRTae Designs", "topics": [ "lrtae_ncp" ] }, { "page": "lrtae_power", "title": "Prospective Power for an LRTae Design", "topics": [ "lrtae_power" ] }, { "page": "ngs_genotype_error_matrix", "title": "Sequencing-Derived Genotype Error Matrix", "topics": [ "ngs_genotype_error_matrix" ] }, { "page": "paweh_app", "title": "Construct the paweh Shiny Dashboard", "topics": [ "paweh_app" ] }, { "page": "plot_cc_mssn", "title": "Plot Case-Control Minimum Sample Size Necessary", "topics": [ "plot_cc_mssn" ] }, { "page": "plot_cc_power", "title": "Plot Case-Control Power", "topics": [ "plot_cc_power" ] }, { "page": "plot_ngs_mssn", "title": "Plot MSSN Sensitivity for Sequencing Designs", "topics": [ "plot_ngs_mssn" ] }, { "page": "plot_ngs_power", "title": "Plot Power Sensitivity for Sequencing Designs", "topics": [ "plot_ngs_power" ] }, { "page": "plot_qtl_anova_mssn", "title": "Plot One-Way ANOVA Minimum Sample Size Under the Falconer Model", "topics": [ "plot_qtl_anova_mssn" ] }, { "page": "plot_qtl_anova_power", "title": "Plot One-Way ANOVA Power Under the Falconer Model", "topics": [ "plot_qtl_anova_power" ] }, { "page": "plot_qtl_genotype_distribution", "title": "Plot Falconer Genotype-Specific Quantitative-Trait Distributions", "topics": [ "plot_qtl_genotype_distribution" ] }, { "page": "plot_qtl_threshold_chisq_mssn", "title": "Plot Threshold-Selected Genotype Chi-Square Minimum Sample Size", "topics": [ "plot_qtl_threshold_chisq_mssn" ] }, { "page": "plot_qtl_threshold_chisq_power", "title": "Plot Threshold-Selected Genotype Chi-Square Power", "topics": [ "plot_qtl_threshold_chisq_power" ] }, { "page": "plot_tdt_mssn", "title": "Plot TDT Minimum Sample Size Necessary", "topics": [ "plot_tdt_mssn" ] }, { "page": "plot_tdt_mssn_locus_heterogeneity", "title": "Plot TDT MSSN Sensitivity to Locus Heterogeneity", "topics": [ "plot_tdt_mssn_locus_heterogeneity" ] }, { "page": "plot_tdt_mssn_phenotype_misclassification", "title": "Plot TDT MSSN Sensitivity to Phenotype Misclassification", "topics": [ "plot_tdt_mssn_phenotype_misclassification" ] }, { "page": "plot_tdt_power", "title": "Plot TDT Power", "topics": [ "plot_tdt_power" ] }, { "page": "plot_tdt_power_locus_heterogeneity", "title": "Plot TDT Power Sensitivity to Locus Heterogeneity", "topics": [ "plot_tdt_power_locus_heterogeneity" ] }, { "page": "plot_tdt_power_phenotype_misclassification", "title": "Plot TDT Power Sensitivity to Phenotype Misclassification", "topics": [ "plot_tdt_power_phenotype_misclassification" ] }, { "page": "plot_tdt_surface3d", "title": "Plot a Generalized 3D TDT Sensitivity Surface", "topics": [ "plot_tdt_surface3d" ] }, { "page": "qtl_anova_mssn", "title": "Minimum Sample Size for One-Way ANOVA Under the Falconer Model", "topics": [ "qtl_anova_mssn" ] }, { "page": "qtl_anova_power", "title": "Power for One-Way ANOVA Under the Falconer Model", "topics": [ "qtl_anova_power" ] }, { "page": "qtl_falconer_parameters", "title": "Falconer Parameters for a Single Quantitative Trait", "topics": [ "qtl_falconer_parameters" ] }, { "page": "qtl_falconer_threshold_parameters", "title": "Threshold-Selected Parameters Under the Falconer Model", "topics": [ "qtl_falconer_threshold_parameters" ] }, { "page": "qtl_multivariate_mssn_full", "title": "Multivariate Falconer Minimum Sample Size", "topics": [ "qtl_multivariate_mssn_full" ] }, { "page": "qtl_multivariate_power_full", "title": "Multivariate Falconer Power", "topics": [ "qtl_multivariate_power_full" ] }, { "page": "qtl_threshold_chisq_mssn", "title": "Minimum Sample Size for a Threshold-Selected Genotype Chi-Square Test", "topics": [ "qtl_threshold_chisq_mssn" ] }, { "page": "qtl_threshold_chisq_power", "title": "Power for a Threshold-Selected Genotype Chi-Square Test", "topics": [ "qtl_threshold_chisq_power" ] }, { "page": "tdt_expected_nontransmission_probability", "title": "Expected Non-Transmission Probability (gNT*) in the Transmission Disequilibrium Test (TDT)", "topics": [ "tdt_expected_nontransmission_probability" ] }, { "page": "tdt_expected_transmission_counts", "title": "Expected Transmissions (ET*) and Non-Transmissions (ENT*) in the Transmission Disequilibrium Test (TDT)", "topics": [ "tdt_expected_transmission_counts" ] }, { "page": "tdt_expected_transmission_probability", "title": "Expected Transmission Probability (gT*) in the Transmission Disequilibrium Test (TDT)", "topics": [ "tdt_expected_transmission_probability" ] }, { "page": "tdt_mssn", "title": "Family-Based (TDT) Minimum Sample Size Necessary", "topics": [ "tdt_mssn" ] }, { "page": "tdt_mssn_from_model", "title": "TDT Minimum Sample Size Necessary from Genetic Model Parameters", "topics": [ "tdt_mssn_from_model" ] }, { "page": "tdt_mssn_phenotype_misclassification_from_ncp", "title": "TDT Minimum Sample Size Necessary from an NCP under Phenotype Misclassification", "topics": [ "tdt_mssn_phenotype_misclassification_from_ncp" ] }, { "page": "tdt_ngs_mssn", "title": "Analytic MSSN for a TDT1-NGS Sequencing Study", "topics": [ "tdt_ngs_mssn" ] }, { "page": "tdt_ngs_power", "title": "Analytic Power for a TDT1-NGS Sequencing Study", "topics": [ "tdt_ngs_power" ] }, { "page": "tdt_power", "title": "Family-Based (TDT) Power", "topics": [ "tdt_power" ] }, { "page": "tdt_power_from_expected_counts", "title": "Transmission Disequilibrium Test (TDT) Power from Expected Transmissions and Non-Transmissions", "topics": [ "tdt_power_from_expected_counts" ] }, { "page": "tdt_power_from_model", "title": "Transmission Disequilibrium Test (TDT) Power from Genetic Model Parameters", "topics": [ "tdt_power_from_model" ] } ], "_readme": "https://github.com/BiocStaging/paweh/raw/HEAD/README.md", "_rundeps": [ "base64enc", "bslib", "cachem", "cli", "commonmark", "cpp11", "digest", "farver", "fastmap", "fontawesome", "fs", "ggplot2", "glue", "gtable", "htmltools", "httpuv", "isoband", "jquerylib", "jsonlite", "labeling", "later", "lifecycle", "magrittr", "memoise", "mime", "mvtnorm", "otel", "promises", "R6", "rappdirs", "RColorBrewer", "Rcpp", "rlang", "S7", "sass", "scales", "shiny", "sourcetools", "vctrs", "viridisLite", "withr", "xtable" ], "_vignettes": [ { "source": "paweh-01-getting-started.Rmd", "filename": "paweh-01-getting-started.html", "title": "Getting started with paweh", "author": "paweh package authors", "engine": "knitr::rmarkdown", "headings": [ "What problem does paweh solve?", "Power and MSSN answer inverse questions", "Five study-design families", "Case-control association", "Affected-child trios", "Quantitative traits", "Sequencing-based designs", "LRTae validation/error-aware designs", "Model-based and model-free inputs", "Where should I start?", "Why Bioconductor?", "Published validation philosophy", "Installation", "Session information" ], "created": "2026-08-24 16:33:31", "modified": "2026-09-16 14:22:59", "commits": 3 }, { "source": "paweh-02-case-control-study-design.Rmd", "filename": "paweh-02-case-control-study-design.html", "title": "Case-control genetic association study design", "author": "paweh package authors", "engine": "knitr::rmarkdown", "headings": [ "From a scientific contrast to a design", "Basic power and inverse design", "Published-example reproduction: Gordon et al. (2002)", "Extending the same design: how MSSN grows with DSB error", "Published-example reproduction: Edwards et al. (2005)", "Extending Edwards: prevalence and false-positive classification", "Locus heterogeneity and the trend test", "Differential genotype error: a Type I error warning", "Independent sensitivity scenarios", "Choosing an interface and recognizing limits", "References", "Session information" ], "created": "2026-08-24 16:33:31", "modified": "2026-09-15 16:16:59", "commits": 4 }, { "source": "paweh-03-tdt-study-design.Rmd", "filename": "paweh-03-tdt-study-design.html", "title": "Transmission disequilibrium test study design", "author": "paweh package authors", "engine": "knitr::rmarkdown", "headings": [ "Why use an affected-child trio design?", "Power and MSSN for trios", "Model-based and model-free TDT inputs", "Chapter 5 genotype misclassification", "Published-example reproduction: Buyske et al. (2009)", "Extending Buyske: a misclassification curve", "Extending Buyske: prevalence by misclassification", "Published-example reproduction: Chen et al. (2009)", "Extending Chen: dilution by heterogeneous trios", "Assumptions and limitations", "References", "Session information" ], "created": "2026-08-24 16:33:31", "modified": "2026-09-15 15:47:04", "commits": 3 }, { "source": "paweh-04-quantitative-trait-study-design.Rmd", "filename": "paweh-04-quantitative-trait-study-design.html", "title": "Quantitative-trait genetic association study design", "author": "paweh package authors", "engine": "knitr::rmarkdown", "headings": [ "Quantitative-trait study design in PAWEH", "Genotype-specific trait distributions", "Continuous-trait ANOVA design", "Extreme-phenotype sampling", "Multiple quantitative traits", "Published-example reproduction: Gordon et al. (2017)", "Joint multivariate threshold selection", "Scope and limitations", "References", "Session information" ], "created": "2026-08-24 16:33:31", "modified": "2026-09-16 14:22:59", "commits": 4 }, { "source": "paweh-05-interactive-dashboard.Rmd", "filename": "paweh-05-interactive-dashboard.html", "title": "Interactive Study Design with the paweh Dashboard", "author": "paweh package authors", "engine": "knitr::rmarkdown", "headings": [ "Introduction", "Launching the dashboard", "Case-Control workflow", "TDT / Family workflow", "Quantitative Trait workflow", "Full continuous trait", "Extreme phenotype sampling", "Multiple quantitative traits", "Detailed panels in Case-Control and TDT", "Reproduce calculations in R", "Frequently asked questions", "Dashboard and programmatic workflows", "Further reading", "Session information" ], "created": "2026-08-24 16:33:31", "modified": "2026-09-15 15:47:04", "commits": 3 }, { "source": "paweh-06-sequencing-study-design.Rmd", "filename": "paweh-06-sequencing-study-design.html", "title": "Sequencing-Based Genetic Study Design with PAWEH", "author": "paweh package authors", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Two sequencing workflows in paweh", "Exact published TDT1-NGS replication: the Kim AIS example", "TDT1-NGS power and MSSN", "TDT sequencing sensitivity", "Published case-control framework: the Ahn example", "The PAWEH CC-NGS sequencing bridge", "CC-NGS power and MSSN", "Separate case/control sequencing", "Why zero per-read error is not perfect at finite depth", "CC sequencing sensitivity", "CC locus heterogeneity", "The exact pi = 0 boundary", "Fixed-depth assumptions and limitations", "A practical design workflow", "References", "Session information" ], "created": "2026-09-01 00:13:57", "modified": "2026-09-07 23:53:08", "commits": 8 }, { "source": "paweh-07-lrtae-study-design.Rmd", "filename": "paweh-07-lrtae-study-design.html", "title": "LRTae power and sample-size design", "author": "paweh package authors", "engine": "knitr::rmarkdown", "headings": [ "What is LRTae?", "Four validation tiers", "A reproducible prospective design", "Computing the NCP", "Computing power", "Computing minimum sample size", "Why validation allocation matters", "Reading the misclassification matrices", "When to use these functions", "References", "Session information" ], "created": "2026-09-14 22:20:33", "modified": "2026-09-15 17:25:17", "commits": 2 } ], "_score": 4.690196080028514, "_indexed": true, "_nocasepkg": "paweh", "_universes": [ "biocstaging", "akilanthony" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.99.0", "date": "2026-10-17T10:46:11.000Z", "distro": "resolute", "commit": "7a5ed7bdfcab9f9f63e7e260204058bfcadf9cce", "fileid": "https://r2.ropensci.org/8c1ff57cc1869c7d38d81d4798d32f21bc2fd19baa03dafcaa1ec00e5e9d9b4c", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/biocstaging/actions/runs/39025771132" }, { "r": "4.6.1", "os": "linux", "version": "0.99.0", "date": "2026-10-17T10:45:59.000Z", "distro": "resolute", "commit": "7a5ed7bdfcab9f9f63e7e260204058bfcadf9cce", "fileid": "https://r2.ropensci.org/b5519213daa9d3e63b6fa5bc1b6c54d8af26e1fbb97434a5b4067bb2d0c64429", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/biocstaging/actions/runs/39025771132" }, { "r": "4.5.3", "os": "mac", "version": "0.99.0", "date": "2026-10-17T10:47:52.000Z", "commit": "7a5ed7bdfcab9f9f63e7e260204058bfcadf9cce", "fileid": "https://r2.ropensci.org/b54f949deff8c6bce6cdf1d3339e498dcff77b51d97a367cf560ffd149ab26a7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/biocstaging/actions/runs/39025771132" }, { "r": "4.6.1", "os": "mac", "version": "0.99.0", "date": "2026-10-17T10:46:33.000Z", "commit": "7a5ed7bdfcab9f9f63e7e260204058bfcadf9cce", "fileid": "https://r2.ropensci.org/c7b205690a7bb32eee32995e1f06a5a9ec366c1d579d6708e27d62b61384a8b9", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/biocstaging/actions/runs/39025771132" }, { "r": "4.6.0", "os": "wasm", "version": "0.99.0", "date": "2026-10-17T10:46:02.000Z", "commit": "7a5ed7bdfcab9f9f63e7e260204058bfcadf9cce", "fileid": "https://r2.ropensci.org/028fd402538ebfc9a8179fdfc1ea62ef87fed2220011acbeeceb429fa9c9b874", "status": "success", "buildurl": "https://github.com/r-universe/biocstaging/actions/runs/39025771132" }, { "r": "4.7.0", "os": "win", "version": "0.99.0", "date": "2026-10-17T10:45:11.000Z", "commit": "7a5ed7bdfcab9f9f63e7e260204058bfcadf9cce", "fileid": "https://r2.ropensci.org/89a600df220afae5da0111b733961f645d40ce3ab370f72b078995bf76ba4802", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/biocstaging/actions/runs/39025771132" }, { "r": "4.5.3", "os": "win", "version": "0.99.0", "date": "2026-10-17T10:45:16.000Z", "commit": "7a5ed7bdfcab9f9f63e7e260204058bfcadf9cce", "fileid": "https://r2.ropensci.org/2a2625b5b24b0b319455d95f9d529ea91b67184ae41315d97093972ed2e655f8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/biocstaging/actions/runs/39025771132" }, { "r": "4.6.1", "os": "win", "version": "0.99.0", "date": "2026-10-17T10:45:09.000Z", "commit": "7a5ed7bdfcab9f9f63e7e260204058bfcadf9cce", "fileid": "https://r2.ropensci.org/606dfb2430f6e649d3dd642055005c2163560baf2243d9c0f2afa41cdea7b9ec", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/biocstaging/actions/runs/39025771132" } ] }