R: Benchmark for Publication Bias Correction Methods

# Benchmark for Publication Bias Correction Methods

## Documentation for package ‘PublicationBiasBenchmark’ version 0.2.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

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.MAIVE | MAIVE: Meta-Analysis Instrumental Variable Estimator
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