{ "_id": "6ad1e503a6a61792ed76be02", "Package": "lineagefreq", "Title": "Lineage Frequency Dynamics from Genomic Surveillance Counts", "Version": "0.6.0", "Authors@R": "person(\"Cuiwei\", \"Gao\", , \"48gaocuiwei@gmail.com\",\nrole = c(\"aut\", \"cre\", \"cph\"))", "Description": "Models pathogen lineage frequency dynamics from genomic\nsurveillance count data. Provides a unified interface for\nmultinomial logistic regression, hierarchical partial-pooling\nmodels, and the Piantham approximation for relative\nreproduction number estimation. Features include rolling-origin\nbacktesting, standardized forecast scoring, Compositional\nAdaptive Prediction Sets (CAPS) for horizon-aware calibrated\nforecasting, lineage collapsing, emergence detection, and\nsequencing power analysis. Designed for real-time public health\nsurveillance of any variant-resolved pathogen. Methods\ndescribed in Abousamra, Figgins, and Bedford (2024)\n.", "License": "MIT + file LICENSE", "URL": "https://github.com/CuiweiG/lineagefreq,\nhttps://cuiweig.github.io/lineagefreq", "BugReports": "https://github.com/CuiweiG/lineagefreq/issues", "Additional_repositories": "https://stan-dev.r-universe.dev", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "Language": "en-US", "Encoding": "UTF-8", "LazyData": "true", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "Config/pak/sysreqs": "libicu-dev", "Repository": "https://cuiweig.r-universe.dev", "Date/Publication": "2026-04-19 04:22:42 UTC", "RemoteUrl": "https://github.com/cuiweig/lineagefreq", "RemoteRef": "HEAD", "RemoteSha": "a08fca034b66ac388d6c4cf4937becd531c82833", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-16 07:55:46 UTC", "User": "root" }, "Author": "Cuiwei Gao [aut, cre, cph]", "Maintainer": "Cuiwei Gao <48gaocuiwei@gmail.com>", "_user": "cuiweig", "_type": "src", "_file": "lineagefreq_0.6.0.tar.gz", "_fileid": "https://r2.ropensci.org/9119035e7b54f37ff52f01f6e442b4980f96580f90359b68e410ea5e2817873d", "_filesize": 3774142, "_sha256": "9119035e7b54f37ff52f01f6e442b4980f96580f90359b68e410ea5e2817873d", "_expires": "2027-01-24T08:49:05.000Z", "_created": "2026-10-16T07:55:46.000Z", "_published": "2026-10-16T08:49:07.076Z", "_buildurl": "https://github.com/r-universe/cuiweig/actions/runs/38869888011", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 116872788151, "time": 218, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "12032787393" }, { "job": 116872788177, "time": 227, "config": "linux-release-x86_64", "r": "4.6.1", "check": "WARNING", "artifact": "12033063211" }, { "job": 116872788239, "time": 166, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "WARNING", "artifact": "12035117481" }, { "job": 116872788188, "time": 232, "config": "macos-release-arm64", "r": "4.6.1", "check": "WARNING", "artifact": "12035875681" }, { "job": 116871356086, "time": 249, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "12033386169" }, { "job": 116872788343, "time": 120, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "12033670334" }, { "job": 116872788195, "time": 153, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "WARNING", "artifact": "12033645602" }, { "job": 116872788152, "time": 259, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "WARNING", "artifact": "12032577760" }, { "job": 116872788130, "time": 160, "config": "windows-release-x86_64", "r": "4.6.1", "check": "WARNING", "artifact": "12033620697" } ], "_upstream": "https://github.com/cuiweig/lineagefreq", "_commit": { "id": "a08fca034b66ac388d6c4cf4937becd531c82833", "author": "CuiweiG <48gaocuiwei@gmail.com>", "committer": "CuiweiG <48gaocuiwei@gmail.com>", "message": "Add calibrate_joint, conformal_forecast_joint, evaluate_prospective, plot.lfq_prospective to pkgdown index\n", "time": 1776572562 }, "_maintainer": { "name": "Cuiwei Gao", "email": "48gaocuiwei@gmail.com", "login": "cuiweig", "mastodon": "@cuiweigao@mastodon.social", "twitter": "@CuiweiG23", "description": "R package developer · Biostatistics · Mechanical engineering · Data analysis", "uuid": 199837382 }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "cli", "version": ">= 3.4.0", "role": "Imports" }, { "package": "dplyr", "version": ">= 1.1.0", "role": "Imports" }, { "package": "grDevices", "role": "Imports" }, { "package": "ggplot2", "version": ">= 3.4.0", "role": "Imports" }, { "package": "MASS", "role": "Imports" }, { "package": "numDeriv", "role": "Imports" }, { "package": "rlang", "version": ">= 1.1.0", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "tibble", "version": ">= 3.1.0", "role": "Imports" }, { "package": "tidyr", "version": ">= 1.3.0", "role": "Imports" }, { "package": "broom", "role": "Suggests" }, { "package": "cmdstanr", "role": "Suggests" }, { "package": "covr", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "posterior", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "scales", "role": "Suggests" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "withr", "role": "Suggests" } ], "_owner": "cuiweig", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-13", "n": 76 }, { "week": "2026-14", "n": 8 }, { "week": "2026-15", "n": 45 }, { "week": "2026-16", "n": 28 } ], "_tags": [ { "name": "v0.1.0", "date": "2026-03-28" }, { "name": "v0.2.0", "date": "2026-03-28" } ], "_topics": [ "epidemiology", "forecasting", "genomic-surveillance", "multinomial-logistic-regression", "sars-cov-2", "variant-frequency" ], "_stars": 1, "_contributors": [ { "user": "cuiweig", "count": 160, "uuid": 199837382 } ], "_userbio": { "uuid": 199837382, "type": "user", "name": "Cuiwei Gao", "followers": 2, "description": "R package developer · Biostatistics · Mechanical engineering · Data analysis" }, "_downloads": { "count": 273, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/lineagefreq" }, "_devurl": "https://github.com/cuiweig/lineagefreq", "_pkgdown": "https://cuiweig.github.io/lineagefreq", "_searchresults": 1, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/lineagefreq.html", "extra/manual.pdf", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "LICENSE" ], "_homeurl": "https://github.com/cuiweig/lineagefreq", "_realowner": "cuiweig", "_cranurl": true, "_releases": [ { "version": "0.2.0", "date": "2026-04-03" } ], "_exports": [ "adaptive_design", "alert_threshold", "as_lfq_data", "augment.lfq_fit", "autoplot", "backtest", "calibrate", "calibrate_joint", "caps_forecast", "collapse_lineages", "compare_models", "conformal_forecast", "conformal_forecast_joint", "detection_horizon", "evaluate_caps", "evaluate_prospective", "filter_sparse", "fit_dms_prior", "fit_model", "fitness_decomposition", "forecast", "glance.lfq_fit", "growth_advantage", "immune_landscape", "is_lfq_data", "lfq_advantage", "lfq_data", "lfq_engines", "lfq_fit", "lfq_forecast", "lfq_score", "lfq_stan_available", "lfq_summary", "lfq_version", "plot_backtest", "read_lineage_counts", "recalibrate", "register_engine", "score_forecasts", "selective_pressure", "sequencing_power", "simulate_dynamics", "summarize_emerging", "surveillance_dashboard", "surveillance_value", "tidy.fitness_decomposition", "tidy.lfq_fit", "unregister_engine" ], "_datasets": [ { "name": "cdc_ba2_transition", "title": "CDC SARS-CoV-2 variant proportions: BA.1 to BA.2 transition (US, 2022)", "object": "cdc_ba2_transition", "class": [ "data.frame" ], "fields": [ "date", "lineage", "count", "proportion" ], "rows": 150, "table": true, "tojson": true }, { "name": "cdc_sarscov2_jn1", "title": "CDC SARS-CoV-2 variant proportions: JN.1 emergence (US, 2023-2024)", "object": "cdc_sarscov2_jn1", "class": [ "data.frame" ], "fields": [ "date", "lineage", "count", "proportion" ], "rows": 171, "table": true, "tojson": true }, { "name": "influenza_h3n2", "title": "Simulated influenza A/H3N2 clade frequency data", "object": "influenza_h3n2", "class": [ "data.frame" ], "fields": [ "date", "clade", "count", "total" ], "rows": 96, "table": true, "tojson": true }, { "name": "sarscov2_us_2022", "title": "Simulated SARS-CoV-2 variant frequency data (US, 2022)", "object": "sarscov2_us_2022", "class": [ "data.frame" ], "fields": [ "date", "variant", "count", "total" ], "rows": 200, "table": true, "tojson": true } ], "_help": [ { "page": "adaptive_design", "title": "Adaptive sequencing allocation via Thompson sampling", "topics": [ "adaptive_design" ] }, { "page": "alert_threshold", "title": "Sequential detection of emerging variants", "topics": [ "alert_threshold" ] }, { "page": "as_lfq_data", "title": "Coerce to lfq_data", "topics": [ "as_lfq_data", "as_lfq_data.data.frame", "as_lfq_data.lfq_data" ] }, { "page": "as.data.frame.lfq_data", "title": "Convert lfq_data to long-format tibble", "topics": [ "as.data.frame.lfq_data" ] }, { "page": "augment.lfq_fit", "title": "Augment data with fitted values from an lfq_fit object", "topics": [ "augment.lfq_fit" ] }, { "page": "autoplot.lfq_fit", "title": "Plot lineage frequency model results", "topics": [ "autoplot.lfq_fit" ] }, { "page": "autoplot.lfq_forecast", "title": "Plot a lineage frequency forecast", "topics": [ "autoplot.lfq_forecast" ] }, { "page": "backtest", "title": "Rolling-origin backtesting of lineage frequency models", "topics": [ "backtest" ] }, { "page": "calibrate", "title": "Calibration diagnostics for lineage frequency forecasts", "topics": [ "calibrate", "calibrate.lfq_backtest", "calibrate.lfq_forecast" ] }, { "page": "calibrate_joint", "title": "Joint Calibration Diagnostics", "topics": [ "calibrate_joint" ] }, { "page": "cdc_ba2_transition", "title": "CDC SARS-CoV-2 variant proportions: BA.1 to BA.2 transition (US, 2022)", "topics": [ "cdc_ba2_transition" ] }, { "page": "cdc_sarscov2_jn1", "title": "CDC SARS-CoV-2 variant proportions: JN.1 emergence (US, 2023-2024)", "topics": [ "cdc_sarscov2_jn1" ] }, { "page": "coef.lfq_fit", "title": "Extract coefficients from a lineage frequency model", "topics": [ "coef.lfq_fit" ] }, { "page": "collapse_lineages", "title": "Collapse rare lineages into an aggregate group", "topics": [ "collapse_lineages" ] }, { "page": "compare_models", "title": "Compare model engines from backtest scores", "topics": [ "compare_models" ] }, { "page": "conformal_forecast", "title": "Conformal prediction intervals for lineage frequencies", "topics": [ "conformal_forecast" ] }, { "page": "conformal_forecast_joint", "title": "Joint Conformal Prediction on the Simplex", "topics": [ "conformal_forecast_joint" ] }, { "page": "detection_horizon", "title": "Detection horizon for an emerging variant", "topics": [ "detection_horizon" ] }, { "page": "evaluate_prospective", "title": "Pseudo-Prospective Evaluation of Conformal Prediction", "topics": [ "evaluate_prospective" ] }, { "page": "filter_sparse", "title": "Filter sparse time points and lineages", "topics": [ "filter_sparse" ] }, { "page": "fit_dms_prior", "title": "Fit model with Deep Mutational Scanning priors", "topics": [ "fit_dms_prior" ] }, { "page": "fit_model", "title": "Fit a lineage frequency model", "topics": [ "fit_model" ] }, { "page": "fitness_decomposition", "title": "Decompose variant fitness into transmissibility and immune escape", "topics": [ "fitness_decomposition" ] }, { "page": "forecast", "title": "Forecast lineage frequencies (generic)", "topics": [ "forecast" ] }, { "page": "forecast.lfq_fit", "title": "Forecast lineage frequencies", "topics": [ "forecast.lfq_fit" ] }, { "page": "glance.lfq_fit", "title": "Glance at an lfq_fit object", "topics": [ "glance.lfq_fit" ] }, { "page": "growth_advantage", "title": "Extract growth advantage estimates", "topics": [ "growth_advantage" ] }, { "page": "immune_landscape", "title": "Construct a population immunity landscape", "topics": [ "immune_landscape" ] }, { "page": "influenza_h3n2", "title": "Simulated influenza A/H3N2 clade frequency data", "topics": [ "influenza_h3n2" ] }, { "page": "is_lfq_data", "title": "Test if an object is an lfq_data object", "topics": [ "is_lfq_data" ] }, { "page": "lfq_advantage", "title": "Pipe-friendly growth advantage extraction", "topics": [ "lfq_advantage" ] }, { "page": "lfq_data", "title": "Create a lineage frequency data object", "topics": [ "lfq_data" ] }, { "page": "lfq_engines", "title": "List available modeling engines", "topics": [ "lfq_engines" ] }, { "page": "lfq_fit", "title": "Pipe-friendly model fitting", "topics": [ "lfq_fit" ] }, { "page": "lfq_forecast", "title": "Pipe-friendly forecasting", "topics": [ "lfq_forecast" ] }, { "page": "lfq_score", "title": "Pipe-friendly backtesting + scoring", "topics": [ "lfq_score" ] }, { "page": "lfq_stan_available", "title": "Check if 'CmdStan' backend is available", "topics": [ "lfq_stan_available" ] }, { "page": "lfq_summary", "title": "Convert lfq_fit results to a summary tibble", "topics": [ "lfq_summary" ] }, { "page": "lfq_version", "title": "Package version and system information", "topics": [ "lfq_version" ] }, { "page": "plot_backtest", "title": "Plot backtest scores", "topics": [ "plot_backtest" ] }, { "page": "plot.adaptive_allocation", "title": "Plot adaptive allocation", "topics": [ "plot.adaptive_allocation" ] }, { "page": "plot.calibration_report", "title": "Plot calibration diagnostics", "topics": [ "plot.calibration_report" ] }, { "page": "plot.evoi", "title": "Plot EVOI curve", "topics": [ "plot.evoi" ] }, { "page": "plot.fitness_decomposition", "title": "Plot fitness decomposition", "topics": [ "plot.fitness_decomposition" ] }, { "page": "plot.immune_landscape", "title": "Plot population immunity landscape", "topics": [ "plot.immune_landscape" ] }, { "page": "plot.lfq_prospective", "title": "Plot Prospective Evaluation Results", "topics": [ "plot.lfq_prospective" ] }, { "page": "print.lfq_fit", "title": "Print a lineage frequency model", "topics": [ "print.lfq_fit" ] }, { "page": "read_lineage_counts", "title": "Read lineage count data from a CSV file", "topics": [ "read_lineage_counts" ] }, { "page": "recalibrate", "title": "Recalibrate prediction intervals", "topics": [ "recalibrate" ] }, { "page": "register_engine", "title": "Register a custom modeling engine", "topics": [ "register_engine" ] }, { "page": "sarscov2_us_2022", "title": "Simulated SARS-CoV-2 variant frequency data (US, 2022)", "topics": [ "sarscov2_us_2022" ] }, { "page": "score_forecasts", "title": "Score backtest forecast accuracy", "topics": [ "score_forecasts" ] }, { "page": "selective_pressure", "title": "Population-level selective pressure from variant dynamics", "topics": [ "selective_pressure" ] }, { "page": "sequencing_power", "title": "Sequencing power analysis", "topics": [ "sequencing_power" ] }, { "page": "simulate_dynamics", "title": "Simulate lineage frequency dynamics", "topics": [ "simulate_dynamics" ] }, { "page": "summarize_emerging", "title": "Summarize emerging lineages", "topics": [ "summarize_emerging" ] }, { "page": "summary.lfq_fit", "title": "Summarise a lineage frequency model", "topics": [ "summary.lfq_fit" ] }, { "page": "surveillance_dashboard", "title": "Comprehensive surveillance quality dashboard", "topics": [ "surveillance_dashboard" ] }, { "page": "surveillance_value", "title": "Expected Value of Information for genomic surveillance", "topics": [ "surveillance_value" ] }, { "page": "tidy.fitness_decomposition", "title": "Tidy a fitness decomposition", "topics": [ "tidy.fitness_decomposition" ] }, { "page": "tidy.lfq_fit", "title": "Tidy an lfq_fit object", "topics": [ "tidy.lfq_fit" ] }, { "page": "unregister_engine", "title": "Remove a registered engine", "topics": [ "unregister_engine" ] } ], "_readme": "https://github.com/cuiweig/lineagefreq/raw/HEAD/README.md", "_rundeps": [ "cli", "cpp11", "dplyr", "farver", "generics", "ggplot2", "glue", "gtable", "isoband", "labeling", "lifecycle", "magrittr", "MASS", "numDeriv", "pillar", "pkgconfig", "purrr", "R6", "RColorBrewer", "rlang", "S7", "scales", "stringi", "stringr", "tibble", "tidyr", "tidyselect", "utf8", "vctrs", "viridisLite", "withr" ], "_vignettes": [ { "source": "real-data-analysis.Rmd", "filename": "real-data-analysis.html", "title": "Analyzing real CDC surveillance data", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Load data", "Collapse rare lineages", "Fit MLR model", "Growth advantages", "Frequency trajectories", "Forecast", "Emergence detection", "Sequencing power", "Session info" ], "created": "2026-03-27 22:10:10", "modified": "2026-03-27 23:16:18", "commits": 2 }, { "source": "model-comparison.Rmd", "filename": "model-comparison.html", "title": "Comparing modeling engines", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Setup", "Engine 1: MLR", "Engine 2: Piantham", "Comparing fit statistics", "Backtesting", "Scoring", "Model ranking", "Visualization", "When to use which engine", "Hierarchical MLR" ], "created": "2026-03-27 19:04:45", "modified": "2026-03-27 19:04:45", "commits": 1 }, { "source": "introduction.Rmd", "filename": "introduction.html", "title": "Getting started with lineagefreq", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Preparing data", "Fitting a model", "Extracting growth advantages", "Visualizing the fit", "Forecasting", "Detecting emerging lineages", "Next steps" ], "created": "2026-03-27 18:57:16", "modified": "2026-03-27 18:57:16", "commits": 1 }, { "source": "immune-aware-fitness.Rmd", "filename": "immune-aware-fitness.html", "title": "Immune-Aware Fitness Estimation", "engine": "knitr::rmarkdown", "headings": [ "The confounding of transmissibility and immune escape", "Constructing the immunity landscape", "Fitness decomposition", "DMS-informed early detection", "Selective pressure as an early warning signal", "Practical considerations", "References" ], "created": "2026-04-12 14:46:16", "modified": "2026-04-12 14:46:16", "commits": 1 }, { "source": "surveillance-optimization.Rmd", "filename": "surveillance-optimization.html", "title": "Information-Theoretic Surveillance Optimization", "engine": "knitr::rmarkdown", "headings": [ "The resource allocation problem", "Expected Value of Information", "Adaptive allocation via Thompson sampling", "Detection horizon", "Sequential detection with controlled false alarms", "Surveillance dashboard", "Comparison with existing approaches", "References" ], "created": "2026-04-12 15:08:01", "modified": "2026-04-12 15:08:01", "commits": 1 }, { "source": "calibration-and-conformal.Rmd", "filename": "calibration-and-conformal.html", "title": "Prediction Calibration and Conformal Inference", "engine": "knitr::rmarkdown", "headings": [ "Why calibration matters", "PIT diagnostics on real CDC data", "Recalibration", "Conformal prediction intervals", "Adaptive conformal inference", "Proper scoring rules", "References" ], "created": "2026-04-12 14:34:33", "modified": "2026-04-12 14:34:33", "commits": 1 }, { "source": "surveillance-workflow.Rmd", "filename": "surveillance-workflow.html", "title": "Surveillance workflow", "engine": "knitr::rmarkdown", "headings": [ "Overview", "Step 1: Load and prepare data", "Step 2: Collapse rare lineages", "Step 3: Fit model", "Step 4: Growth advantages", "Step 5: Identify emerging lineages", "Step 6: Forecast", "Step 7: Assess sequencing needs", "Step 8: Extract tidy results", "Summary" ], "created": "2026-03-27 18:57:16", "modified": "2026-03-27 18:57:16", "commits": 1 }, { "source": "validation-report.Rmd", "filename": "validation-report.html", "title": "Validation Report", "engine": "knitr::rmarkdown", "headings": [ "Overview", "1. Forecast accuracy benchmark", "Results", "Comparison with published benchmarks", "2. Calibration diagnostics", "Key finding", "Recalibration", "Conformal prediction", "3. Sequential detection", "Limitation", "4. Fitness decomposition", "5. Multi-pathogen applicability", "References" ], "created": "2026-04-12 15:52:17", "modified": "2026-04-12 15:52:17", "commits": 1 } ], "_score": 5.204119982655925, "_indexed": true, "_nocasepkg": "lineagefreq", "_universes": [ "cuiweig" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.6.0", "date": "2026-10-16T07:58:10.000Z", "distro": "resolute", "commit": "a08fca034b66ac388d6c4cf4937becd531c82833", "fileid": "https://r2.ropensci.org/9c0ca6d9717ddaee9967008bb20809c1680eec945de11f09a03248d35d18f362", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/cuiweig/actions/runs/38869888011" }, { "r": "4.6.1", "os": "linux", "version": "0.6.0", "date": "2026-10-16T07:58:17.000Z", "distro": "resolute", "commit": "a08fca034b66ac388d6c4cf4937becd531c82833", "fileid": "https://r2.ropensci.org/8d1fe58f2a63b2d84c3a6e9a92663480ffdf9a7f9f38fdaf7622311897c8b96e", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/cuiweig/actions/runs/38869888011" }, { "r": "4.5.3", "os": "mac", "version": "0.6.0", "date": "2026-10-16T08:46:02.000Z", "commit": "a08fca034b66ac388d6c4cf4937becd531c82833", "fileid": "https://r2.ropensci.org/d0b9d93cac0bac0ac9f1f15af93cb42921ecc14964a205c45c5e78ed29ac586e", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/cuiweig/actions/runs/38869888011" }, { "r": "4.6.1", "os": "mac", "version": "0.6.0", "date": "2026-10-16T08:46:31.000Z", "commit": "a08fca034b66ac388d6c4cf4937becd531c82833", "fileid": "https://r2.ropensci.org/5ba6bdeaaee88e0da5ca7ba67eaff58b6c190c3fb3a3c0fb8b68fe0b4c10c640", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/cuiweig/actions/runs/38869888011" }, { "r": "4.6.0", "os": "wasm", "version": "0.6.0", "date": "2026-10-16T07:58:15.000Z", "commit": "a08fca034b66ac388d6c4cf4937becd531c82833", "fileid": "https://r2.ropensci.org/706ca287f176429b8373d0dfb0c9b9a37fedf5189a9654bf08c1083133f2d017", "status": "success", "buildurl": "https://github.com/r-universe/cuiweig/actions/runs/38869888011" }, { "r": "4.7.0", "os": "win", "version": "0.6.0", "date": "2026-10-16T07:56:58.000Z", "commit": "a08fca034b66ac388d6c4cf4937becd531c82833", "fileid": "https://r2.ropensci.org/8fe3267649f009b751b80d6c60eff878e5cc35e752fb1dee41c7fd40f863e418", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/cuiweig/actions/runs/38869888011" }, { "r": "4.5.3", "os": "win", "version": "0.6.0", "date": "2026-10-16T07:57:10.000Z", "commit": "a08fca034b66ac388d6c4cf4937becd531c82833", "fileid": "https://r2.ropensci.org/d43426134ba169423a73bd3f3d69d0c884d4bfc8cb5af3a2affae42fdf39eab4", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/cuiweig/actions/runs/38869888011" }, { "r": "4.6.1", "os": "win", "version": "0.6.0", "date": "2026-10-16T07:57:03.000Z", "commit": "a08fca034b66ac388d6c4cf4937becd531c82833", "fileid": "https://r2.ropensci.org/019daba1c3bcda883b78792fe1821cbc396bff68f9ccd0ed1ff3be829424e3c1", "status": "success", "check": "WARNING", "buildurl": "https://github.com/r-universe/cuiweig/actions/runs/38869888011" } ] }