Package index
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add_exprs() - Partially bold a string
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br_charts_theme() - BR charts theme
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brdata - Example effects table
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calculate_diff_bin() - CI for absolute risk for binary outcomes
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calculate_diff_con() - CI for treatment difference in continuous outcomes
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calculate_diff_rates() - CI for treatment difference in exposure-adjusted rates
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calculate_log_odds_ratio_bin() - CI for log odds ratio for binary outcomes
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calculate_log_rel_risk_bin() - CI for log relative risk for binary outcomes
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calculate_odds_ratio_bin() - CI for odds ratio for binary outcomes
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calculate_rel_risk_bin() - CI for relative risk for binary outcomes
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check_effects_table() - Check if data contains required features to run a specific plot
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check_feature() - intermediate function used to display log messages check if a specific feature exist in the data
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check_feature_string() - intermediate function used to display log messages check if a specific feature exist in the data
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colfun() - Function for colors
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comp_outcome - Example composite outcome data used for Figure 12
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compare_value_function_types() - Compare Different Value Function Types
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compare_value_functions() - Compare Value Functions for Benefits and Risks
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control_fonts() - Control Fonts
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corr - Example correlation data for correlogram visualization
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corr2 - Simulated benefit-risk correlation data for correlogram visualization
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create_correlogram() - Create a correlogram from a given dataframe
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create_forest_dot_plot() - Create Forest and Dot Plots for Treatment Effects
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create_mcda_barplot_comparison() - Create MCDA Bar Chart: Normalized Values Comparison
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create_mcda_brmap() - Create MCDA Benefit-Risk Map
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create_mcda_walkthrough() - Create MCDA Bar Chart: Calculation Walkthrough
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create_mcda_waterfall() - Create MCDA Waterfall Chart
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create_value_function_plot() - Create Value Function Visualization
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cumexcess - Example cumulative excess plot data used for Figure 13
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divergent_stacked_barchart() - Divergent Stacked Bar Chart
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effects_table - Example treatment effect table
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font_config() - Calculate Font Size Based on Figure Dimensions
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generate_tradeoff_plot() - Trade-off plot
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gensurv() - Simulate data (utilized for function tests)
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gensurv_combined() - Combine the cumulative excess plot and corresponding table into one figure
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gensurv_plot() - Create a cumulative excess plot from a given dataframe
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gensurv_table() - Create a table that corresponds to the cumulative excess plot
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ggsave_custom() - Wrapper to ggsave: Save a ggplot (or other grid object) with sensible defaults
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labs_bold() - Create expression
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mcda_data - Example MCDA data in wide format
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mcda_tornado() - Create MCDA Tornado Plot
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plot_multiple_value_functions() - Compare Multiple Value Functions
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prepare_br_calculated_ci() - Prepare data analysis for binary and continuous outcomes with Calculated interval confidence identifies whether the dataframe is for Benefit or Risk analysis
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prepare_br_supplied_ci() - Prepare data analysis for binary and continuous outcomes with Supplied interval confidence identifies whether the dataframe is for Benefit or Risk analysis
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prepare_forest_dot_data() - Prepare Data for Forest and Dot Plots
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prepare_tradeoff_data() - Prepare data for the tradeoff plot
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prepare_tradeoff_plot() - Prepare trade-off plot
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publication_geom_text_size() - Convert points to ggplot geom text size units
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publication_typography() - Publication Typography Profile
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relmax() - Derive maximum boundary value for axis Derive boundary value to include all values
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relmin() - Derive minimum boundary value for axis Derive boundary value to include all values
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scatter_plot() - Create a scatterplot from a given dataframe.
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scatterplot - Example scatterplot data used for Figure 11
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stacked_barchart() - Stacked Bar Chart