Benchmark for Publication Bias Correction Methods
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Documentation for package ‘PublicationBiasBenchmark’ version 0.1.0
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 |
| measures | Performance Measures and Monte Carlo Standard Errors |
| 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 |