| 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 |