Package index
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set_ipd_unanchored() - Set up IPD for unanchored comparison
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set_agd_unanchored() - Set up AgD for unanchored comparison
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combine_unanchored() - Combine IPD and AgD for unanchored comparison
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add_integration_unanchored() - Add numerical integration points for unanchored comparison
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mlumr() - Fit Multilevel Unanchored Meta-Regression Model
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marginal_effects() - Calculate Marginal Treatment Effects
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predict(<mlumr_fit>) - Predictions from ML-UMR Model
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calculate_dic() - Calculate DIC for model comparison
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compare_models() - Compare models using DIC
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plot_diagnostics() - Plot MCMC diagnostics
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extract_parameters() - Extract parameter estimates
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print(<mlumr_fit>)summary(<mlumr_fit>)plot(<mlumr_fit>) - S3 Methods for mlumr_fit Objects
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plot_marginal_effects_forest() - Plot Marginal Effects Forest Plot
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plot_covariate_distribution() - Plot covariate distributions
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plot_forest_comparison() - Forest Plot Comparing Adjusted vs Unadjusted Estimates
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plot_posterior_predictive() - Posterior Predictive Check Plot
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plot_parameter_correlation() - Parameter Correlation Heatmap
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plot_model_comparison() - Model Comparison Plot
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generate_report() - Generate Comprehensive HTML Report for ML-UMR Analysis
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generate_simulation_data() - Generate Simulation Data for ML-UMR
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distr() - Specify a marginal distribution
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qbern()pbern()dbern() - Bernoulli distribution functions
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prior_normal() - Prior Specifications for ML-UMR
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unnest_integration() - Unnest integration points
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print(<mlumr_fit>)summary(<mlumr_fit>)plot(<mlumr_fit>) - S3 Methods for mlumr_fit Objects
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print(<unanchored_data>) - Print method for unanchored_data
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print(<simulation_data>) - Print method for simulation_data
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print(<mlumr_dic>) - Print method for DIC