Benchmark for Publication Bias Correction Methods


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Documentation for package ‘PublicationBiasBenchmark’ version 0.1.3

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bias Performance Measures and Monte Carlo Standard Errors
bias_mcse Performance Measures and Monte Carlo Standard Errors
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
coverage Performance Measures and Monte Carlo Standard Errors
coverage_mcse Performance Measures and Monte Carlo Standard Errors
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.default Default DGM handler
dgm.no_bias Normal Unbiased Data-Generating Mechanism
dgm.Stanley2017 Stanley, Doucouliagos, and Ioannidis (2017) Data-Generating Mechanism
dgm_conditions Return Pre-specified DGM Settings
download_dgm Download Datasets/Results/Measures of a DGM
download_dgm_datasets Download Datasets/Results/Measures of a DGM
download_dgm_measures Download Datasets/Results/Measures of a DGM
download_dgm_results Download Datasets/Results/Measures of a DGM
empirical_se Performance Measures and Monte Carlo Standard Errors
empirical_se_mcse Performance Measures and Monte Carlo Standard Errors
empirical_variance Performance Measures and Monte Carlo Standard Errors
empirical_variance_mcse Performance Measures and Monte Carlo Standard Errors
get_dgm_condition Return Pre-specified DGM Settings
get_method_extra_columns Method Extra Columns
get_method_setting Return Pre-specified Method Settings
interval_score Performance Measures and Monte Carlo Standard Errors
interval_score_mcse Performance Measures and Monte Carlo Standard Errors
mean_ci_width Performance Measures and Monte Carlo Standard Errors
mean_ci_width_mcse Performance Measures and Monte Carlo Standard Errors
mean_generic_statistic Performance Measures and Monte Carlo Standard Errors
mean_generic_statistic_mcse Performance Measures and Monte Carlo Standard Errors
measure Get performance measure function
measures Performance Measures and Monte Carlo Standard Errors
measure_mcse Get performance measure MCSE function
method Method Method
method.AK AK Method
method.default Default method handler
method.EK Endogenous Kink Method
method.FMA Fixed Effects Meta-Analysis Method
method.mean Mean Method
method.pcurve pcurve (P-Curve) 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.puniform puniform (P-Uniform) Method
method.RMA Random Effects Meta-Analysis Method
method.RoBMA Robust Bayesian Meta-Analysis (RoBMA) Method
method.SM SM (Selection Models) Method
method.trimfill Trim-and-Fill Meta-Analysis 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_extra_columns Method Extra Columns
method_extra_columns.default Method Extra Columns
method_settings Return Pre-specified Method Settings
mse Performance Measures and Monte Carlo Standard Errors
mse_mcse Performance Measures and Monte Carlo Standard Errors
negative_likelihood_ratio Performance Measures and Monte Carlo Standard Errors
negative_likelihood_ratio_mcse Performance Measures and Monte Carlo Standard Errors
positive_likelihood_ratio Performance Measures and Monte Carlo Standard Errors
positive_likelihood_ratio_mcse Performance Measures and Monte Carlo Standard Errors
power Performance Measures and Monte Carlo Standard Errors
power_mcse Performance Measures and Monte Carlo Standard Errors
PublicationBiasBenchmark.get_option Options for the PublicationBiasBenchmark package
PublicationBiasBenchmark.options Options for the PublicationBiasBenchmark package
PublicationBiasBenchmark_options Options for the PublicationBiasBenchmark package
relative_bias Performance Measures and Monte Carlo Standard Errors
relative_bias_mcse Performance Measures and Monte Carlo Standard Errors
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
rmse Performance Measures and Monte Carlo Standard Errors
rmse_mcse Performance Measures and Monte Carlo Standard Errors
run_method Generic method function for publication bias correction
simulate_dgm Simulate From Data-Generating Mechanism
validate_dgm_setting Validate DGM Settings