Man pages for PublicationBiasBenchmark
Benchmark for Publication Bias Correction Methods

compare_measuresCompare method with Multiple Measures for a DGM
compare_single_measureCompare method with a Single Measure for a DGM
compute_measuresCompute Multiple Performance measures for a DGM
compute_single_measureCompute Performance Measures
create_empty_resultCreate standardized empty method result for convergence...
dgmDGM Method
dgm.Alinaghi2018Alinaghi and Reed (2018) Data-Generating Mechanism
dgm.Bom2019Bom and Rachinger (2019) Data-Generating Mechanism
dgm.Carter2019Carter et al. (2019) Data-Generating Mechanism
dgm_conditionsReturn Pre-specified DGM Settings
dgm.defaultDefault DGM handler
dgm.no_biasNormal Unbiased Data-Generating Mechanism
dgm.Stanley2017Stanley, Doucouliagos, and Ioannidis (2017) Data-Generating...
download_dgmDownload Datasets/Results/Measures of a DGM
measureGet performance measure function
measure_mcseGet performance measure MCSE function
measuresPerformance Measures and Monte Carlo Standard Errors
methodMethod Method
method.AKAK Method
method.defaultDefault method handler
method.EKEndogenous Kink Method
method_extra_columnsMethod Extra Columns
method.FMAFixed Effects Meta-Analysis Method
method.MAIVEMAIVE: Meta-Analysis Instrumental Variable Estimator
method.meanMean Method
method.pcurvepcurve (P-Curve) Method
method.PEESEPEESE (Precision-Effect Estimate with Standard Errors) Method
method.PETPET (Precision-Effect Test) Method
method.PETPEESEPET-PEESE (Precision-Effect Test and Precision-Effect...
method.puniformpuniform (P-Uniform) Method
method.RMARandom Effects Meta-Analysis Method
method.RoBMARobust Bayesian Meta-Analysis (RoBMA) Method
method_settingsReturn Pre-specified Method Settings
method.SMSM (Selection Models) Method
method.trimfillTrim-and-Fill Meta-Analysis Method
method.WAAPWLSWAAPWLS (Weighted Average of Adequately Powered Studies)...
method.WILSWeighted and Iterated Least Squares (WILS) Method
method.WLSWLS (Weighted Least Squares) Method
PublicationBiasBenchmark_optionsOptions for the PublicationBiasBenchmark package
PublicationBiasBenchmark-packagePublicationBiasBenchmark: Benchmark for Publication Bias...
retrieve_dgm_datasetRetrieve a Pre-Simulated Condition and Repetition From a DGM
retrieve_dgm_measuresRetrieve Pre-Computed Performance measures for a DGM
retrieve_dgm_resultsRetrieve a Pre-Computed Results of a Method Applied to DGM
run_methodGeneric method function for publication bias correction
S_G_squaredCalculate sample variance of generic statistic
simulate_dgmSimulate From Data-Generating Mechanism
S_theta_minus_theta_squaredCalculate sample variance of squared errors
S_theta_squaredCalculate sample variance of estimates
S_w_squaredCalculate sample variance of CI widths
upload_dgmUpload Datasets of a DGM
validate_dgm_settingValidate DGM Settings
PublicationBiasBenchmark documentation built on March 16, 2026, 5:07 p.m.