| adaptive_MC_sampling | Perform Adaptive Monte Carlo Sampling | 
| add_noise_bias | Add Noise and Bias to Matrix Data | 
| analyze_network_structure | Calculate Network Analysis Metrics | 
| c25 | Color Palettes | 
| c25_claud | Color Palettes | 
| c25_old | Color Palettes | 
| c25_older | Color Palettes | 
| calculate_annual_distances | Calculate Annual Distance Metrics | 
| calculate_cumulative_distances | Calculate Cumulative Distance Metrics | 
| calculate_diagnostics | Calculate Adaptive Monte Carlo Sampling Diagnostics | 
| calculate_prediction_interval | Calculate prediction interval for distance estimates | 
| calculate_procrustes_difference | Calculate Procrustes Difference Between Maps | 
| calculate_procrustes_significance | Calculate Statistical Significance Between Maps Using Procrustes Analysis | 
| calculate_weighted_marginals | Calculate Weighted Marginal Distributions | 
| check_gaussian_convergence | Check Multivariate Gaussian Convergence | 
| clean_data | Clean Data by Removing MAD-based Outliers | 
| color_palettes | Color Palettes | 
| coordinates_to_matrix | Convert coordinates to distance matrix | 
| create_and_optimize_RACMACS_map | Create and Optimize a RACMACS Map | 
| create_cv_folds | Create Cross-validation Folds for Distance Matrix | 
| create_diagnostic_plots | Create Diagnostic Plots for Multiple Chains | 
| create_topolow_map | Main TopoLow algorithm implementation | 
| denv_data | Dengue Virus (DENV) Titer Data | 
| dist_to_titer_table | Convert Distance Matrix to Titer Panel Format | 
| error_calculator_comparison | Calculate comprehensive error metrics between predicted and true distances | 
| example_positions | Example Antigenic Mapping Data | 
| find_mode | Find Mode of Density Distribution | 
| generate_complex_data | Generate Complex High-Dimensional Data for Testing | 
| generate_synthetic_datasets | Generate Synthetic Distance Matrices with Missing Data | 
| generate_unique_string | Generate unique string identifiers with year suffix | 
| ggsave_white_bg | Save ggplot with white background | 
| h3n2_data | H3N2 Influenza HI Assay Data from Smith et al. 2004 | 
| hiv_titers | HIV Neutralization Assay Data | 
| hiv_viruses | HIV Virus Metadata | 
| increase_na_percentage | Increase Missing Values in a Matrix | 
| initial_parameter_optimization | Run Parameter Optimization Via Latin Hypercube Sampling | 
| log_transform_parameters | Log Transform Parameter Samples | 
| long_to_matrix | Convert Long Format Data to Distance Matrix | 
| make_interactive | Create Interactive Plot | 
| new_aesthetic_config | Plot Aesthetic Configuration Class | 
| new_annotation_config | Plot Annotation Configuration Class | 
| new_dim_reduction_config | Dimension Reduction Configuration Class | 
| new_layout_config | Plot Layout Configuration Class | 
| only_virus_vs_as | Filter matrix to only virus vs antiserum distances | 
| parameter_sensitivity_analysis | Parameter Sensitivity Analysis | 
| plot.parameter_sensitivity | Plot Method for Parameter Sensitivity Analysis | 
| plot.profile_likelihood | Plot Method for Profile Likelihood Objects | 
| plot.topolow_amcs_diagnostics | Plot Method for Adaptive Monte Carlo Sampling Diagnostics | 
| plot.topolow_convergence | Plot Method for Convergence Diagnostics | 
| plot_3d_mapping | Create 3D Visualization | 
| plot_cluster_mapping | Create Clustered Mapping Plots | 
| plot_distance_heatmap | Plot Distance Matrix Heatmap | 
| plot_network_structure | Plot Network Structure Analysis | 
| plot_temporal_mapping | Create Temporal Mapping Plot | 
| prepare_heatmap_data | Generate Distance Matrix Heatmap Data | 
| print.parameter_sensitivity | Print Method for Parameter Sensitivity Objects | 
| print.profile_likelihood | Print Method for Profile Likelihood Objects | 
| print.topolow | Print method for topolow objects | 
| print.topolow_amcs_diagnostics | Print Method for Adaptive Monte Carlo Sampling Diagnostics | 
| print.topolow_convergence | Print Method for Convergence Diagnostics | 
| process_antigenic_data | Process Raw Antigenic Assay Data | 
| profile_likelihood | Profile Likelihood Analysis | 
| prune_distance_network | Prune Distance Data for Network Quality | 
| run_adaptive_sampling | Run Adaptive Monte Carlo Sampling | 
| save_plot | Save Plot to File | 
| scatterplot_fitted_vs_true | Plot Fitted vs True Distances | 
| summary.topolow | Summary method for topolow objects | 
| symmetric_to_nonsymmetric_matrix | Convert distance matrix to assay panel format | 
| unweighted_kde | Unweighted Kernel Density Estimation | 
| weighted_kde | Weighted Kernel Density Estimation |