add_colors_to_performance_dat | Adding color to Performance Data |
add_color_to_confusion_metric | Adding color to the confusion metric |
add_color_to_lift | Adding color to the lift metric |
add_color_to_net_benifit | Adding Color to Net Benifit metric |
add_color_to_performance_metric | Adding color to performance metric |
add_gains_curve_reference_lines | Add reference lines to Gains Curve |
add_hover_text_to_performance_data | Adding hover text to performance data |
add_html_color_to_model_for_subtitle | Add html color to model for subtitle |
add_interactive_marker_from_performance_data | Add interactive marker based on performance data |
add_lines_and_markers_from_performance_data | Add lines and markers based on performance data |
add_markers_and_lines_to_plotly | Adding markers and lines to plotly |
add_models_for_text_for_hover | Adding models for text to hover |
add_population_for_text_for_hover | Adding population for text to hover |
add_reference_lines_to_ggplot | Add reference lines to ggplot curve |
add_reference_lines_to_plotly | Add Reference Lines to Plotly Object |
add_zebra_colors_to_gt_table | Add Zebra colors to gt table |
bar_chart | Creating html bar |
bar_style_nb_reactable | Add background color |
bar_style_perf | Add background color |
check_chosen_threshold_input | Check chosen threshold input |
check_curve_input | Check curve input |
check_performance_data_stratification | Check cheson threshold input |
check_performance_data_type_for_plotly | Check Performance type for plotly |
check_probs_input | Check probs input |
check_real_input | Check real input |
check_stratified_by_input | Check stratified_by input |
create_calibration_curve | Create a Calibration Curve |
create_calibration_curve_list | Create a Calibration Curve List |
create_color_reference_lines_vector | Creating color reference lines vector |
create_conf_mat_list | Create a list of confusion matrices |
create_decision_curve | Decision Curve |
create_gains_curve | Gains Curve |
create_ggplot_for_performance_metrics | Create ggplot for Performance Metrics |
create_lift_curve | Lift Curve |
create_linetype_reference_vector | Creating linetype reference lines vector |
create_performance_table | Performance Table |
create_plotly_curve | Creating rtichoke plotly curve |
create_precision_recall_curve | Precision Recall Curve |
create_reference_lines_data_frame | Creating Reference Lines Data Frame |
create_reference_lines_for_plotly | Create reference lines plotly as the first stage of... |
create_roc_curve | ROC Curve |
create_rtichoke_curve_list | Creating rtichoke curve list |
create_subtitle_for_ggplot | Creating subtitle for ggplot2 |
create_subtitle_for_one_population | Creating Subtitle for One Population |
create_summary_report | Create a summary report |
create_table_for_auc | Create Table for AUC |
create_table_for_prevalence | Create Data for Prevalence |
create_text_for_hover | Creating text to hover |
creating_subtitle_for_gt | Creating Subtitle for gt performance table |
creating_title_for_gt | Creating Title for gt performance table |
define_limits_for_calibration_plot | Define limits for Calibration Curve |
example_dat | Example Data Frame for rtichoke package |
get_n_from_performance_data | n |
get_prevalence_from_performance_data | prevalence |
get_real_positives_from_performance_data | Real Positives |
make_performance_metric_bold | Making performance metric bold |
make_performance_metrics_bold | Making performance metrics bold |
make_two_performance_metrics_bold | Making two performance metrics bold |
multiple_models | Example Performance Data |
multiple_models_by_ppcr | Example Performance Data |
multiple_populations | Example Performance Data |
multiple_populations_by_ppcr | Example Performance Data |
one_pop_one_model | Example Performance Data |
one_pop_one_model_as_a_list | Example Performance Data |
one_pop_one_model_as_a_list_enforced_percentiles_symmetry | Example Performance Data |
one_pop_one_model_as_a_vector | Example Performance Data |
one_pop_one_model_as_a_vector_enforced_percentiles_symmetry | Example Performance Data |
one_pop_one_model_by_ppcr | Example Performance Data |
one_pop_three_models | Example Performance Data |
one_pop_three_models_enforced_percentiles_symmetry | Example Performance Data |
pipe | Pipe operator |
plot_decision_curve | Decision Curve from Performance Data |
plot_gains_curve | Gains Curve from Performance Data |
plot_lift_curve | LIFT Curve from Performance Data |
plot_precision_recall_curve | Precision Recall Curve from Performance Data |
plot_roc_curve | ROC Curve from Performance Data |
plot_rtichoke_curve | Plot rtichoke curve |
prepare_performance_data | Prepare Performance Data |
prepare_performance_data_for_gt | Preparing Performance Data for gt |
remove_grid_lines_from_plotly | remove_grid_lines_from_plotly |
render_and_format_gt | Rendering and Formatting gt |
render_performance_table | Performance Table |
render_reactable_confusion_matrix | Render a reactable confusion matrix |
replace_nan_with_na | Replancing NaN with NA |
rtichoke-package | rtichoke: rtichoke |
set_axis_titles | Set Titles for x and y axis in plotly objects |
set_decision_curve_limits | Set the limits for Decision Curve |
set_gains_curve_limits | Set the limits for Gains Curve |
set_lift_curve_limits | Set the limits for lift curve |
set_precision_recall_curve_limits | Set the limits for percision recall curve |
set_styling_for_rtichoke | Set styling for rtichoke plotly |
train_and_test_sets | Example Performance Data |
train_and_test_sets_enforced_percentiles_symmetry | Example Performance Data |
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