| assign_data | Assign data to hexagons |
| avg_highd_data | Create a dataframe with averaged high-dimensional data |
| calc_bins | Calculate the effective number of bins along x-axis and y-axis |
| calc_y_max | Compute maximum value of y for scaling |
| cal_2d_dist | Calculate 2D Euclidean distances between vertices |
| compute_aic | Compute the Akaike Information Criterion (AIC) for a given model. |
| compute_mean_density_hex | Compute mean density of hexagonal bins |
| compute_std_counts | Compute standardize counts in hexagons |
| extract_hexbin_centroids | Extract hexagonal bin centroids coordinates and the corresponding standardize counts. |
| find_lg_benchmark | Compute a benchmark value to remove long edges |
| find_low_dens_hex | Find low-density Hexagons |
| find_non_empty_bins | Find the number of bins required to achieve required number of non-empty bins. |
| find_pts | Find points in hexagonal bins |
| fit_highd_model | Construct the 2D model and lift into high-D |
| gen_centroids | Generate centroid coordinate |
| gen_edges | Generate edge information |
| gen_hex_coord | Generate hexagonal polygon coordinates |
| gen_scaled_data | Scaling the data |
| gen_summary | Generate evaluation metrics |
| GeomTrimesh | GeomTrimesh: A Custom ggplot2 Geom for Triangular Meshes |
| geom_trimesh | Create a trimesh plot |
| hex_binning | Hexagonal binning |
| predict_emb | Predict 2D embeddings |
| show_langevitour | Visualize the model overlaid on high-dimensional data |
| stat_trimesh | stat_trimesh Custom Stat for trimesh plot |
| s_curve_noise | S-curve dataset with noise dimensions |
| s_curve_noise_test | S-curve dataset with noise dimensions for test |
| s_curve_noise_training | S-curve dataset with noise dimensions for training |
| s_curve_noise_umap | UMAP embedding for S-curve dataset which with noise dimensions |
| s_curve_noise_umap_predict | Predicted UMAP embedding for S-curve dataset which with noise dimensions |
| s_curve_noise_umap_scaled | Scaled UMAP embedding for S-curve dataset which with noise dimensions |
| tri_bin_centroids | Triangulate bin centroids |
| vis_lg_mesh | Visualize triangular mesh with coloured long edges |
| vis_rmlg_mesh | Visualize triangular mesh after removing the long edges |