Package index
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PublicationBiasBenchmark.options()PublicationBiasBenchmark.get_option() - Options for the PublicationBiasBenchmark package
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compare_measures() - Compare method with Multiple Measures for a DGM
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compare_single_measure() - Compare method with a Single Measure for a DGM
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compute_measures() - Compute Multiple Performance measures for a DGM
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compute_single_measure() - Compute Performance Measures
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create_empty_result() - Create standardized empty method result for convergence failures
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dgm(<Alinaghi2018>) - Alinaghi and Reed (2018) Data-Generating Mechanism
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dgm(<Bom2019>) - Bom and Rachinger (2019) Data-Generating Mechanism
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dgm(<Carter2019>) - Carter et al. (2019) Data-Generating Mechanism
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dgm() - DGM Method
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dgm(<Stanley2017>) - Stanley, Doucouliagos, and Ioannidis (2017) Data-Generating Mechanism
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dgm(<default>) - Default DGM handler
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dgm(<no_bias>) - Normal Unbiased Data-Generating Mechanism
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dgm_conditions()get_dgm_condition() - Return Pre-specified DGM Settings
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download_dgm_datasets()download_dgm_results()download_dgm_measures() - Download Datasets of a DGM
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bias()bias_mcse()relative_bias()relative_bias_mcse()mse()mse_mcse()rmse()rmse_mcse()empirical_variance()empirical_variance_mcse()empirical_se()empirical_se_mcse()coverage()coverage_mcse()power()power_mcse()mean_ci_width()mean_ci_width_mcse()mean_generic_statistic()mean_generic_statistic_mcse()positive_likelihood_ratio()positive_likelihood_ratio_mcse()negative_likelihood_ratio()negative_likelihood_ratio_mcse()interval_score()interval_score_mcse() - Performance Measures and Monte Carlo Standard Errors
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method(<AK>) - AK Method
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method(<EK>) - Endogenous Kink Method
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method(<FMA>) - Fixed Effects Meta-Analysis Method
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method(<PEESE>) - PEESE (Precision-Effect Estimate with Standard Errors) Method
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method(<PET>) - PET (Precision-Effect Test) Method
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method(<PETPEESE>) - PET-PEESE (Precision-Effect Test and Precision-Effect Estimate with Standard Errors) Method
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method(<RMA>) - Random Effects Meta-Analysis Method
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method() - Method Method
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method(<RoBMA>) - Robust Bayesian Meta-Analysis (RoBMA) Method
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method(<SM>) - SM (Selection Models) Method
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method(<WAAPWLS>) - WAAPWLS (Weighted Average of Adequately Powered Studies) Method
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method(<WILS>) - Weighted and Iterated Least Squares (WILS) Method
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method(<WLS>) - WLS (Weighted Least Squares) Method
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method(<default>) - Default method handler
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method(<mean>) - Mean Method
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method(<pcurve>) - pcurve (P-Curve) Method
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method(<puniform>) - puniform (P-Uniform) Method
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method(<trimfill>) - Trim-and-Fill Meta-Analysis Method
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get_method_extra_columns()method_extra_columns() - Method Extra Columns
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method_settings()get_method_setting() - Return Pre-specified Method Settings
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retrieve_dgm_dataset() - Retrieve a Pre-Simulated Condition and Repetition From a DGM
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retrieve_dgm_measures() - Retrieve Pre-Computed Performance measures for a DGM
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retrieve_dgm_results() - Retrieve a Pre-Computed Results of a Method Applied to DGM
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run_method() - Generic method function for publication bias correction
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simulate_dgm() - Simulate From Data-Generating Mechanism
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validate_dgm_setting() - Validate DGM Settings