{ "_id": "6ac61c99f511ae58c09a6484", "Package": "mixpower", "Title": "Simulation-Based Power Analysis for Mixed-Effects Models", "Version": "1.2.0", "Authors@R": "person(\"Alex\", \"Litovchenko\", role = c(\"aut\", \"cre\"), email = \"al4877@columbia.edu\")", "Description": "A comprehensive, simulation-based toolkit for power and\nsample-size analysis for linear and generalized linear\nmixed-effects models (LMMs and GLMMs). Supports Gaussian,\nbinomial, Poisson, and negative binomial families via 'lme4';\nWald and likelihood-ratio tests; multi-parameter sensitivity\ngrids; power curves and minimum sample-size solvers; parallel\nevaluation with deterministic seeds; and full reproducibility\n(manifests, result bundling, and export to CSV/JSON). Delivers\nthorough diagnostics per run (failure rate, singular-fit rate,\neffective N) and publication-ready summary tables. References:\nBates et al. (2015) \"Fitting Linear Mixed-Effects Models Using\nlme4\" ; Green and MacLeod (2016)\n\"SIMR: an R package for power analysis of generalized linear\nmixed models by simulation\" .", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-US", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "URL": "https://github.com/alitovchenko/mixpower,\nhttps://CRAN.R-project.org/package=mixpower", "BugReports": "https://github.com/alitovchenko/mixpower/issues", "Config/pak/sysreqs": "cmake make", "Repository": "https://alitovchenko.r-universe.dev", "Date/Publication": "2026-06-27 18:17:19 UTC", "RemoteUrl": "https://github.com/alitovchenko/mixpower", "RemoteRef": "HEAD", "RemoteSha": "afdfbd3feea58d94665a84ecd9c9238da1736767", "NeedsCompilation": "no", "Packaged": { "Date": "2026-10-07 08:59:04 UTC", "User": "root" }, "Author": "Alex Litovchenko [aut, cre]", "Maintainer": "Alex Litovchenko ", "_user": "alitovchenko", "_type": "src", "_file": "mixpower_1.2.0.tar.gz", "_fileid": "https://r2.ropensci.org/ce5792322c9c6677feae327ea1f3569fc340d2f52c4b8bfc9d7b6ae6889ff81a", "_filesize": 531868, "_sha256": "ce5792322c9c6677feae327ea1f3569fc340d2f52c4b8bfc9d7b6ae6889ff81a", "_expires": "2027-01-15T10:19:03.000Z", "_created": "2026-10-07T08:59:04.000Z", "_published": "2026-10-07T10:19:05.478Z", "_buildurl": "https://github.com/r-universe/alitovchenko/actions/runs/37595001375", "_status": "success", "_host": "GitHub-Actions", "_jobs": [ { "job": 112713551704, "time": 157, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11472226665" }, { "job": 112713551694, "time": 134, "config": "linux-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11471408607" }, { "job": 112713551628, "time": 194, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "11475381337" }, { "job": 112713551685, "time": 172, "config": "macos-release-arm64", "r": "4.6.1", "check": "OK", "artifact": "11475570568" }, { "job": 112708015222, "time": 248, "config": "source", "r": "4.6.1", "check": "OK", "artifact": "11471216110" }, { "job": 112713551682, "time": 108, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "11471362553" }, { "job": 112713551868, "time": 108, "config": "windows-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "11471925993" }, { "job": 112713551966, "time": 110, "config": "windows-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "11471885643" }, { "job": 112713551687, "time": 111, "config": "windows-release-x86_64", "r": "4.6.1", "check": "OK", "artifact": "11471162051" } ], "_upstream": "https://github.com/alitovchenko/mixpower", "_commit": { "id": "afdfbd3feea58d94665a84ecd9c9238da1736767", "author": "Alexander Litovchenko ", "committer": "Alexander Litovchenko ", "message": "Finish N4: custom data-generating functions (mp_custom_dgp)\n\nAdd mp_custom_dgp(): wraps a user-supplied data-generating function as a\nvalidated simulate_fun, and mp_scenario_lme4(simulate=) plugs it in while\nkeeping the lme4 fit/test. Designs the built-in grammar does not cover\nnatively -- partially nested designs, multi-arm factors, nonlinear time,\ncorrelated predictors -- now run through the full power / calibrate /\ncompare / report pipeline. Output is validated against the model formula's\nvariables.\n\nTests: validation, simulate= override + reproducibility, calibration\ncomposition, and worked multi-arm (omnibus LRT) + correlated-predictor\nexamples (448 pass, 0 fail).\n", "time": 1782584239 }, "_maintainer": { "name": "Alex Litovchenko", "email": "al4877@columbia.edu" }, "_distro": "resolute", "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.1.0", "role": "Depends" }, { "package": "stats", "role": "Imports" }, { "package": "lme4", "role": "Imports" }, { "package": "testthat", "version": ">= 3.0.0", "role": "Suggests" }, { "package": "knitr", "role": "Suggests" }, { "package": "rmarkdown", "role": "Suggests" }, { "package": "digest", "role": "Suggests" }, { "package": "jsonlite", "role": "Suggests" }, { "package": "glmmTMB", "role": "Suggests" }, { "package": "lmerTest", "role": "Suggests" }, { "package": "pbkrtest", "role": "Suggests" }, { "package": "dplyr", "role": "Suggests" }, { "package": "tidyr", "role": "Suggests" }, { "package": "ggplot2", "role": "Suggests" }, { "package": "tibble", "role": "Suggests" } ], "_owner": "alitovchenko", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2026-05", "n": 1 }, { "week": "2026-06", "n": 17 }, { "week": "2026-07", "n": 3 }, { "week": "2026-16", "n": 1 }, { "week": "2026-24", "n": 2 }, { "week": "2026-25", "n": 17 }, { "week": "2026-26", "n": 8 } ], "_tags": [ { "name": "v0.1.0", "date": "2026-02-06" }, { "name": "v1.1.1", "date": "2026-06-18" } ], "_stars": 1, "_contributors": [ { "user": "alitovchenko", "count": 40, "uuid": 173103206 } ], "_userbio": { "uuid": 173103206, "type": "user", "name": "Alex Litovchenko", "followers": 0 }, "_downloads": { "count": 406, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/mixpower" }, "_devurl": "https://github.com/alitovchenko/mixpower", "_searchresults": 9, "_rbuild": "4.6.1", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/manual.pdf", "extra/mixpower.html", "extra/NEWS.html", "extra/NEWS.txt", "extra/readme.html", "extra/readme.md", "LICENSE" ], "_homeurl": "https://github.com/alitovchenko/mixpower", "_realowner": "alitovchenko", "_cranurl": true, "_releases": [ { "version": "0.1.0", "date": "2026-02-16" }, { "version": "1.1.1", "date": "2026-06-25" } ], "_exports": [ "fit_model", "mp_assumptions", "mp_attach_calibration", "mp_backend", "mp_backend_glmmtmb", "mp_backend_lme4", "mp_backend_lme4_binomial", "mp_backend_lme4_nb", "mp_backend_lme4_poisson", "mp_beta_to_d", "mp_beta_to_r2", "mp_bundle_results", "mp_calibrate", "mp_compare_models", "mp_custom_dgp", "mp_d_to_beta", "mp_design", "mp_elicit", "mp_extend", "mp_f_to_beta", "mp_from_fit", "mp_grid_sample_size", "mp_icc_to_sd", "mp_logodds_to_or", "mp_manifest", "mp_methods_text", "mp_missing", "mp_or_to_logodds", "mp_parallel_cluster", "mp_plan", "mp_power", "mp_power_adaptive", "mp_power_checkpoint", "mp_power_curve", "mp_power_curve_parallel", "mp_quick_power", "mp_r2_to_beta", "mp_recommend_method", "mp_report", "mp_report_table", "mp_safeguard_effect", "mp_scenario", "mp_scenario_glmmtmb_lmm", "mp_scenario_lme4", "mp_scenario_lme4_binomial", "mp_scenario_lme4_nb", "mp_scenario_lme4_poisson", "mp_sd_to_icc", "mp_sensitivity", "mp_sensitivity_cell_run", "mp_sensitivity_parallel", "mp_sesoi", "mp_solve_sample_size", "mp_stop", "mp_t_to_beta", "mp_write_report", "mp_write_results", "plot_power", "run_parallel", "simulate_glmm_binomial_data", "simulate_glmm_nb_data", "simulate_glmm_poisson_data", "simulate_power", "summarize_simulations", "test_effect", "validate_mp_backend" ], "_help": [ { "page": "mixpower-package", "title": "Simulation-Based Power Analysis for Mixed-Effects Models", "topics": [ "mixpower-package", "mixpower" ] }, { "page": "as_tibble.mp_power", "title": "Coerce mixpower results to a tibble", "topics": [ "as_tibble.mp_power" ] }, { "page": "autoplot.mp_sensitivity", "title": "ggplot2 diagnostic plot for sensitivity or power curve", "topics": [ "autoplot.mp_sensitivity" ] }, { "page": "effect_size", "title": "Effect-size converters for eliciting assumptions", "topics": [ "effect_size", "mp_beta_to_d", "mp_beta_to_r2", "mp_d_to_beta", "mp_f_to_beta", "mp_icc_to_sd", "mp_logodds_to_or", "mp_or_to_logodds", "mp_r2_to_beta", "mp_sd_to_icc", "mp_t_to_beta" ] }, { "page": "fit_model", "title": "Fit a model for a single simulated dataset", "topics": [ "fit_model" ] }, { "page": "mp_assumptions", "title": "Create modeling assumptions for simulation-based power", "topics": [ "mp_assumptions" ] }, { "page": "mp_attach_calibration", "title": "Record a calibration result on a scenario", "topics": [ "mp_attach_calibration" ] }, { "page": "mp_backend", "title": "MixPower backend contract", "topics": [ "mp_backend" ] }, { "page": "mp_backend_glmmtmb", "title": "Build a glmmTMB backend for Gaussian LMM scenarios", "topics": [ "mp_backend_glmmtmb" ] }, { "page": "mp_backend_lme4", "title": "Build an lme4 backend for MixPower scenarios", "topics": [ "mp_backend_lme4" ] }, { "page": "mp_backend_lme4_binomial", "title": "Build an lme4 backend for binomial GLMM scenarios", "topics": [ "mp_backend_lme4_binomial" ] }, { "page": "mp_backend_lme4_nb", "title": "Build an lme4 backend for Negative Binomial GLMM scenarios", "topics": [ "mp_backend_lme4_nb" ] }, { "page": "mp_backend_lme4_poisson", "title": "Build an lme4 backend for Poisson GLMM scenarios", "topics": [ "mp_backend_lme4_poisson" ] }, { "page": "mp_bundle_results", "title": "Bundle results with manifest and optional labels", "topics": [ "mp_bundle_results" ] }, { "page": "mp_calibrate", "title": "Check the Type I error calibration of a scenario's test", "topics": [ "mp_calibrate" ] }, { "page": "mp_compare_models", "title": "Compare analysis models on the same data: power _and_ Type I error", "topics": [ "mp_compare_models" ] }, { "page": "mp_custom_dgp", "title": "Plug a custom data-generating function into the mixpower pipeline", "topics": [ "mp_custom_dgp" ] }, { "page": "mp_design", "title": "Create a study design specification", "topics": [ "mp_design" ] }, { "page": "mp_elicit", "title": "Elicit assumptions from standardized scientific quantities", "topics": [ "mp_elicit" ] }, { "page": "mp_extend", "title": "Scale a fitted-model scenario's sample size up or down", "topics": [ "mp_extend" ] }, { "page": "mp_from_fit", "title": "Build a power scenario from a fitted lme4 model", "topics": [ "mp_from_fit" ] }, { "page": "mp_grid_sample_size", "title": "Create a grid of values for sample-size search", "topics": [ "mp_grid_sample_size" ] }, { "page": "mp_manifest", "title": "Reproducibility manifest for power analyses", "topics": [ "mp_manifest" ] }, { "page": "mp_methods_text", "title": "Generate a methods paragraph for a power analysis", "topics": [ "mp_methods_text" ] }, { "page": "mp_missing", "title": "Add a missing-data / dropout mechanism to a scenario", "topics": [ "mp_missing" ] }, { "page": "mp_plan", "title": "Plan power the calibrate-first way", "topics": [ "mp_plan" ] }, { "page": "mp_power", "title": "Simulation-based power estimation (engine-agnostic core)", "topics": [ "mp_power" ] }, { "page": "mp_power_adaptive", "title": "Adaptive (sequential) power simulation", "topics": [ "mp_power_adaptive" ] }, { "page": "mp_power_checkpoint", "title": "Resumable, checkpointed power simulation", "topics": [ "mp_power_checkpoint" ] }, { "page": "mp_power_curve", "title": "Power curve for a single design/assumption parameter", "topics": [ "mp_power_curve" ] }, { "page": "mp_power_curve_parallel", "title": "Parallel power curve evaluation", "topics": [ "mp_power_curve_parallel" ] }, { "page": "mp_quick_power", "title": "Quick power run for a single LMM design", "topics": [ "mp_quick_power" ] }, { "page": "mp_recommend_method", "title": "Recommend an inference method for a scenario", "topics": [ "mp_recommend_method" ] }, { "page": "mp_report", "title": "Build a full \"trust report\" for a power analysis", "topics": [ "mp_report" ] }, { "page": "mp_report_table", "title": "Publication-ready summary table for power results", "topics": [ "mp_report_table" ] }, { "page": "mp_safeguard_effect", "title": "Safeguard (confidence-bound) effect size from a fitted model", "topics": [ "mp_safeguard_effect" ] }, { "page": "mp_scenario", "title": "Create a power-analysis scenario", "topics": [ "mp_scenario" ] }, { "page": "mp_scenario_glmmtmb_lmm", "title": "Gaussian LMM scenario using glmmTMB", "topics": [ "mp_scenario_glmmtmb_lmm" ] }, { "page": "mp_scenario_lme4", "title": "Create a fully specified MixPower scenario with the lme4 backend", "topics": [ "mp_scenario_lme4" ] }, { "page": "mp_scenario_lme4_binomial", "title": "Create a fully specified MixPower scenario with the binomial lme4 backend", "topics": [ "mp_scenario_lme4_binomial" ] }, { "page": "mp_scenario_lme4_nb", "title": "Create a fully specified MixPower scenario with the NB lme4 backend", "topics": [ "mp_scenario_lme4_nb" ] }, { "page": "mp_scenario_lme4_poisson", "title": "Create a fully specified MixPower scenario with the Poisson lme4 backend", "topics": [ "mp_scenario_lme4_poisson" ] }, { "page": "mp_sensitivity", "title": "Run power sensitivity analysis over a parameter grid", "topics": [ "mp_sensitivity" ] }, { "page": "mp_sensitivity_parallel", "title": "Parallel sensitivity analysis over a parameter grid", "topics": [ "mp_sensitivity_parallel" ] }, { "page": "mp_sesoi", "title": "Set a smallest effect size of interest (SESOI) on a scenario", "topics": [ "mp_sesoi" ] }, { "page": "mp_solve_sample_size", "title": "Solve for minimum sample size achieving target power", "topics": [ "mp_solve_sample_size" ] }, { "page": "mp_stop", "title": "Stopping rule for adaptive power simulation", "topics": [ "mp_stop" ] }, { "page": "mp_write_report", "title": "Write a power-analysis report to a file", "topics": [ "mp_write_report" ] }, { "page": "mp_write_results", "title": "Write results or bundle to CSV or JSON", "topics": [ "mp_write_results" ] }, { "page": "plot_power", "title": "Plot power results", "topics": [ "plot_power" ] }, { "page": "plot.mp_power", "title": "Plot the p-value distribution of a power analysis", "topics": [ "plot.mp_power" ] }, { "page": "plot.mp_power_curve", "title": "Plot a power curve", "topics": [ "plot.mp_power_curve" ] }, { "page": "plot.mp_sensitivity", "title": "Plot a sensitivity analysis", "topics": [ "plot.mp_sensitivity" ] }, { "page": "run_parallel", "title": "Placeholder for parallel execution", "topics": [ "run_parallel" ] }, { "page": "simulate_glmm_binomial_data", "title": "Simulate binary outcome data for a GLMM with random effects", "topics": [ "simulate_glmm_binomial_data" ] }, { "page": "simulate_glmm_nb_data", "title": "Simulate count outcome data for a Negative Binomial GLMM with random effects", "topics": [ "simulate_glmm_nb_data" ] }, { "page": "simulate_glmm_poisson_data", "title": "Simulate count outcome data for a Poisson GLMM with random effects", "topics": [ "simulate_glmm_poisson_data" ] }, { "page": "simulate_power", "title": "Run a simple simulation-based power study", "topics": [ "simulate_power" ] }, { "page": "summarize_simulations", "title": "Summarize simulation outputs", "topics": [ "summarize_simulations" ] }, { "page": "test_effect", "title": "Extract a test statistic for a model term", "topics": [ "test_effect" ] }, { "page": "validate_mp_backend", "title": "Validate a MixPower backend", "topics": [ "validate_mp_backend" ] } ], "_readme": "https://github.com/alitovchenko/mixpower/raw/HEAD/README.md", "_rundeps": [ "boot", "lattice", "lme4", "MASS", "Matrix", "minqa", "nlme", "nloptr", "rbibutils", "Rcpp", "RcppEigen", "Rdpack", "reformulas" ], "_vignettes": [ { "source": "mixpower-design.Rmd", "filename": "mixpower-design.html", "title": "Designing studies", "engine": "knitr::rmarkdown", "headings": [], "created": "2026-02-02 16:33:17", "modified": "2026-06-13 19:23:10", "commits": 3 }, { "source": "mixpower-diagnostics.Rmd", "filename": "mixpower-diagnostics.html", "title": "Diagnostics and sensitivity", "engine": "knitr::rmarkdown", "headings": [], "created": "2026-02-02 16:33:17", "modified": "2026-06-13 19:23:10", "commits": 3 }, { "source": "mixpower-effect-sizes.Rmd", "filename": "mixpower-effect-sizes.html", "title": "Effect sizes: maximal models, fitted pilots, and safeguard power", "engine": "knitr::rmarkdown", "headings": [ "Maximal models: correlated random slopes", "Power from a fitted pilot model", "Planning around a smallest effect size of interest", "Safeguard power", "Reading Type S and Type M errors" ], "created": "2026-06-17 03:57:59", "modified": "2026-06-18 03:18:54", "commits": 2 }, { "source": "mixpower-extending.Rmd", "filename": "mixpower-extending.html", "title": "Extending mixpower with custom backends", "engine": "knitr::rmarkdown", "headings": [ "The three-function contract", "Building a validated backend with mp_backend()", "Using mp_scenario() and mp_power()", "Built-in backends", "Parallel grids", "Further reading" ], "created": "2026-04-18 22:21:09", "modified": "2026-06-18 03:18:54", "commits": 2 }, { "source": "mixpower-intro.Rmd", "filename": "mixpower-intro.html", "title": "mixpower intro", "engine": "knitr::rmarkdown", "headings": [ "Inference options: Wald vs LRT", "Binary outcomes (binomial GLMM)", "Sensitivity curve for binomial outcomes", "Count outcomes (Poisson vs Negative Binomial)", "Sensitivity curves (count outcomes)" ], "created": "2026-02-02 16:33:17", "modified": "2026-06-18 03:18:54", "commits": 6 }, { "source": "mixpower-reproducibility.Rmd", "filename": "mixpower-reproducibility.html", "title": "Reproducibility workflow", "engine": "knitr::rmarkdown", "headings": [ "Run analysis and capture manifest", "Bundle results and export", "Regenerating from manifest and seed", "One-row manifest for saving" ], "created": "2026-04-18 22:21:09", "modified": "2026-06-18 03:18:54", "commits": 3 }, { "source": "mixpower-simulations.Rmd", "filename": "mixpower-simulations.html", "title": "Running simulations", "engine": "knitr::rmarkdown", "headings": [], "created": "2026-02-02 16:33:17", "modified": "2026-06-13 19:23:10", "commits": 3 }, { "source": "mixpower-validation.Rmd", "filename": "mixpower-validation.html", "title": "Validation: is your power number trustworthy?", "engine": "knitr::rmarkdown", "headings": [ "Calibrate: does the test hold its alpha?", "Catching a misspecified model", "Recommend: which inference method?", "Reporting", "Putting it together: mp_plan()" ], "created": "2026-06-17 05:05:06", "modified": "2026-06-27 02:09:41", "commits": 3 } ], "_score": 5.447158031342219, "_indexed": true, "_nocasepkg": "mixpower", "_universes": [ "alitovchenko" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.2.0", "date": "2026-10-07T09:10:29.000Z", "distro": "resolute", "commit": "afdfbd3feea58d94665a84ecd9c9238da1736767", "fileid": "https://r2.ropensci.org/1c34223ac2cd77a32f757b01ca770cc95ddf780b006aab8069bc9a9f4b253636", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alitovchenko/actions/runs/37595001375" }, { "r": "4.6.1", "os": "linux", "version": "1.2.0", "date": "2026-10-07T09:10:16.000Z", "distro": "resolute", "commit": "afdfbd3feea58d94665a84ecd9c9238da1736767", "fileid": "https://r2.ropensci.org/f026a803cfd02593576490db3700a1fcdb78c9aa7f1e10d34e9f993a05bb76da", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alitovchenko/actions/runs/37595001375" }, { "r": "4.5.3", "os": "mac", "version": "1.2.0", "date": "2026-10-07T10:17:15.000Z", "commit": "afdfbd3feea58d94665a84ecd9c9238da1736767", "fileid": "https://r2.ropensci.org/d27e481b389ded4ba4cdc774f3329d2ff8b7d452edecca6aaeeecf5c26085268", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alitovchenko/actions/runs/37595001375" }, { "r": "4.6.1", "os": "mac", "version": "1.2.0", "date": "2026-10-07T10:17:36.000Z", "commit": "afdfbd3feea58d94665a84ecd9c9238da1736767", "fileid": "https://r2.ropensci.org/43cb03d9fb54be3d2e5ec5ed3e1cbb86d322269929a8c3dc645dbbcec443fe0b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alitovchenko/actions/runs/37595001375" }, { "r": "4.6.0", "os": "wasm", "version": "1.2.0", "date": "2026-10-07T09:10:19.000Z", "commit": "afdfbd3feea58d94665a84ecd9c9238da1736767", "fileid": "https://r2.ropensci.org/34d9002a57144967608f7725f6341ffe03c85a7d459126ef711995a11cbb7961", "status": "success", "buildurl": "https://github.com/r-universe/alitovchenko/actions/runs/37595001375" }, { "r": "4.7.0", "os": "win", "version": "1.2.0", "date": "2026-10-07T09:00:25.000Z", "commit": "afdfbd3feea58d94665a84ecd9c9238da1736767", "fileid": "https://r2.ropensci.org/0b38794d697860c48a6bf433a99d85474edbf2b6bc0a7c8970d92dd7fcb51b09", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alitovchenko/actions/runs/37595001375" }, { "r": "4.5.3", "os": "win", "version": "1.2.0", "date": "2026-10-07T09:00:30.000Z", "commit": "afdfbd3feea58d94665a84ecd9c9238da1736767", "fileid": "https://r2.ropensci.org/e4971e93616ac5f9c5ca2ccdb6550d636d359cba761b9ebe5429386b967b205b", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alitovchenko/actions/runs/37595001375" }, { "r": "4.6.1", "os": "win", "version": "1.2.0", "date": "2026-10-07T09:00:30.000Z", "commit": "afdfbd3feea58d94665a84ecd9c9238da1736767", "fileid": "https://r2.ropensci.org/3b4658b9c3e507996336240f65df7bd73d457ca3167426f6f24dc6d3dbe91ec7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/alitovchenko/actions/runs/37595001375" } ] }