{ "_id": "6a33c9f53efcd9bda43b26e7", "Package": "mixpower", "Title": "Simulation-Based Power Analysis for Mixed-Effects Models", "Version": "1.1.1", "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", "BugReports": "https://github.com/alitovchenko/mixpower/issues", "Config/pak/sysreqs": "cmake make", "Repository": "https://alitovchenko.r-universe.dev", "Date/Publication": "2026-06-18 03:18:54 UTC", "RemoteUrl": "https://github.com/alitovchenko/mixpower", "RemoteRef": "HEAD", "RemoteSha": "dc08d3f5e509b4a4fee8d3fb489fdbeb8aebde83", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-18 10:31:21 UTC", "User": "root" }, "Author": "Alex Litovchenko [aut, cre]", "Maintainer": "Alex Litovchenko ", "MD5sum": "e959b2ea0dd51000c6869e7526d1cd39", "_user": "alitovchenko", "_type": "src", "_file": "mixpower_1.1.1.tar.gz", "_fileid": "891b873e35f415b5d59210a70c8bdc82b3dee54ff11b516c232df90e01976b3b", "_filesize": 478927, "_sha256": "891b873e35f415b5d59210a70c8bdc82b3dee54ff11b516c232df90e01976b3b", "_created": "2026-06-18T10:31:21.000Z", "_published": "2026-06-18T10:35:33.005Z", "_distro": "noble", "_jobs": [ { "job": 82109304140, "time": 199, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7720883994" }, { "job": 82109304112, "time": 154, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7720868087" }, { "job": 82109304100, "time": 101, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7720849519" }, { "job": 82109304117, "time": 103, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7720890871" }, { "job": 82108547111, "time": 264, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7720813226" }, { "job": 82109304132, "time": 113, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7720853291" }, { "job": 82109304130, "time": 151, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7720865761" }, { "job": 82109304118, "time": 97, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7720847888" }, { "job": 82109304128, "time": 122, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7720856592" } ], "_buildurl": "https://github.com/r-universe/alitovchenko/actions/runs/27753192184", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/alitovchenko/mixpower", "_commit": { "id": "dc08d3f5e509b4a4fee8d3fb489fdbeb8aebde83", "author": "Alexander Litovchenko ", "committer": "Alexander Litovchenko ", "message": "Reduce R CMD check time for CRAN (1.1.1)\n\nCRAN flagged the previous submission for exceeding the 10-minute check budget\n(vignette rebuild ~12 min, tests ~6 min). This release brings both well under:\n\n- Vignettes: small toy designs and few iterations (lower nsim, smaller cluster\n counts, fewer grid points). Vignette rebuild now ~40s.\n- Tests: the lengthy simulation/correctness tests are guarded with\n skip_on_cran(); they still run in CI (NOT_CRAN=true) and the lme4 path is\n exercised on CRAN via examples and a few lightweight smoke tests.\n\nNo user-facing API changes. Local R CMD check --as-cran: 0 errors, 0 warnings,\n1 note (new submission).\n", "time": 1781752734 }, "_maintainer": { "name": "Alex Litovchenko", "email": "al4877@columbia.edu" }, "_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": 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"mp_solve_sample_size", "mp_t_to_beta", "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": 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"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 simulated data", "topics": [ "mp_compare_models" ] }, { "page": "mp_design", "title": "Create a study design specification", "topics": [ "mp_design" ] }, { "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": 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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_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 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