PublicationBiasBenchmark_options
                        Options for the PublicationBiasBenchmark
                        package
compare_measures        Compare method with Multiple Measures for a DGM
compare_single_measure
                        Compare method with a Single Measure for a DGM
compute_measures        Compute Multiple Performance measures for a DGM
compute_single_measure
                        Compute Performance Measures
create_empty_result     Create standardized empty method result for
                        convergence failures
dgm                     DGM Method
dgm.Alinaghi2018        Alinaghi and Reed (2018) Data-Generating
                        Mechanism
dgm.Bom2019             Bom and Rachinger (2019) Data-Generating
                        Mechanism
dgm.Carter2019          Carter et al. (2019) Data-Generating Mechanism
dgm.Stanley2017         Stanley, Doucouliagos, and Ioannidis (2017)
                        Data-Generating Mechanism
dgm.default             Default DGM handler
dgm.no_bias             Normal Unbiased Data-Generating Mechanism
dgm_conditions          Return Pre-specified DGM Settings
download_dgm            Download Datasets/Results/Measures of a DGM
measure                 Get performance measure function
measure_mcse            Get performance measure MCSE function
measures                Performance Measures and Monte Carlo Standard
                        Errors
method                  Method Method
method.AK               AK Method
method.EK               Endogenous Kink Method
method.FMA              Fixed Effects Meta-Analysis Method
method.PEESE            PEESE (Precision-Effect Estimate with Standard
                        Errors) Method
method.PET              PET (Precision-Effect Test) Method
method.PETPEESE         PET-PEESE (Precision-Effect Test and
                        Precision-Effect Estimate with Standard Errors)
                        Method
method.RMA              Random Effects Meta-Analysis Method
method.RoBMA            Robust Bayesian Meta-Analysis (RoBMA) Method
method.SM               SM (Selection Models) Method
method.WAAPWLS          WAAPWLS (Weighted Average of Adequately Powered
                        Studies) Method
method.WILS             Weighted and Iterated Least Squares (WILS)
                        Method
method.WLS              WLS (Weighted Least Squares) Method
method.default          Default method handler
method.mean             Mean Method
method.pcurve           pcurve (P-Curve) Method
method.puniform         puniform (P-Uniform) Method
method.trimfill         Trim-and-Fill Meta-Analysis Method
method_extra_columns    Method Extra Columns
method_settings         Return Pre-specified Method Settings
retrieve_dgm_dataset    Retrieve a Pre-Simulated Condition and
                        Repetition From a DGM
retrieve_dgm_measures   Retrieve Pre-Computed Performance measures for
                        a DGM
retrieve_dgm_results    Retrieve a Pre-Computed Results of a Method
                        Applied to DGM
run_method              Generic method function for publication bias
                        correction
simulate_dgm            Simulate From Data-Generating Mechanism
validate_dgm_setting    Validate DGM Settings
