Package: PublicationBiasBenchmark 0.2.1
PublicationBiasBenchmark: Benchmark for Publication Bias Correction Methods
Implements a unified interface for benchmarking meta-analytic publication bias correction methods through simulation studies (see Bartoš et al., 2025, <doi:10.48550/arXiv.2510.19489>). It provides 1) predefined data-generating mechanisms from the literature, 2) functions for running meta-analytic methods on simulated data, 3) pre-simulated datasets and pre-computed results for reproducible benchmarks, 4) tools for visualizing and comparing method performance.
Authors:
PublicationBiasBenchmark_0.2.1.tar.gz
PublicationBiasBenchmark_0.2.1.zip(r-4.7)PublicationBiasBenchmark_0.2.1.zip(r-4.6)PublicationBiasBenchmark_0.2.1.zip(r-4.5)
PublicationBiasBenchmark_0.2.1.tgz(r-4.6-any)PublicationBiasBenchmark_0.2.1.tgz(r-4.5-any)
PublicationBiasBenchmark_0.2.1.tar.gz(r-4.7-any)PublicationBiasBenchmark_0.2.1.tar.gz(r-4.6-any)
PublicationBiasBenchmark_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
PublicationBiasBenchmark/json (API)
NEWS
| # Install 'PublicationBiasBenchmark' in R: |
| install.packages('PublicationBiasBenchmark', repos = c('https://fbartos.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fbartos/publicationbiasbenchmark/issues
Pkgdown/docs site:https://fbartos.github.io
benchmarkmeta-analysispublication-biassimulation
Last updated from:5aa4a4ca14. Checks:7 OK, 2 NOTE. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 200 | ||
| source / vignettes | OK | 232 | ||
| linux-release-x86_64 | OK | 177 | ||
| macos-release-arm64 | NOTE | 103 | ||
| macos-oldrel-arm64 | NOTE | 118 | ||
| windows-devel | OK | 116 | ||
| windows-release | OK | 114 | ||
| windows-oldrel | OK | 114 | ||
| wasm-release | OK | 129 |
Exports:biasbias_mcsecompare_measurescompare_single_measurecompute_measurescompute_single_measurecoveragecoverage_mcsecreate_empty_resultdgmdgm_conditionsdownload_dgm_datasetsdownload_dgm_measuresdownload_dgm_resultsempirical_seempirical_se_mcseempirical_varianceempirical_variance_mcseget_dgm_conditionget_method_extra_columnsget_method_settinginterval_scoreinterval_score_mcsemean_ci_widthmean_ci_width_mcsemean_generic_statisticmean_generic_statistic_mcsemeasuremeasure_mcsemethodmethod_extra_columnsmethod_settingsmsemse_mcsenegative_likelihood_rationegative_likelihood_ratio_mcsepositive_likelihood_ratiopositive_likelihood_ratio_mcsepowerpower_mcsePublicationBiasBenchmark.get_optionPublicationBiasBenchmark.optionsrelative_biasrelative_bias_mcseretrieve_dgm_datasetretrieve_dgm_measuresretrieve_dgm_resultsrmsermse_mcserun_methodsimulate_dgmvalidate_dgm_setting
Dependencies:ADGofTestaskpasscachemcliclubSandwichcrulcurldigestfastmapfsgluehttpcodehttrjsonlitelatticelifecyclelmtestmagrittrMAIVEMASSmathjaxrMatrixmemoisemetadatmetaformimenlmenumDerivopensslosfrpbapplypillarpkgconfigpuniformpurrrpwrR6rbibutilsRcppRcppArmadilloRdpackrlangsandwichstringisystibbletriebeardurltoolsutf8vctrszoo
Adding New Data-Generating Mechanisms
Rendered fromAdding_New_DGMs.Rmdusingknitr::rmarkdownon May 24 2026.Last update: 2025-10-22
Started: 2025-10-01
Adding New Methods
Rendered fromAdding_New_Methods.Rmdusingknitr::rmarkdownon May 24 2026.Last update: 2025-10-22
Started: 2025-10-01
Computing Method Measures
Rendered fromComputing_Method_Measures.Rmdusingknitr::rmarkdownon May 24 2026.Last update: 2025-11-07
Started: 2025-10-15
Computing Method Results
Rendered fromComputing_Method_Results.Rmdusingknitr::rmarkdownon May 24 2026.Last update: 2025-11-07
Started: 2025-10-15
Using Precomputed Measures
Rendered fromUsing_Precomputed_Measures.Rmdusingknitr::rmarkdownon May 24 2026.Last update: 2025-10-22
Started: 2025-10-15
Using Precomputed Results
Rendered fromUsing_Precomputed_Results.Rmdusingknitr::rmarkdownon May 24 2026.Last update: 2025-11-26
Started: 2025-10-15
Using Presimulated Datasets
Rendered fromUsing_Presimulated_Datasets.Rmdusingknitr::rmarkdownon May 24 2026.Last update: 2025-11-07
Started: 2025-10-15
