Man pages for nlhuong/buds
Bayesian Unidimensional Scaling (BUDS)
| buds-package | The 'buds' package. |
| cor_dist | Compute pairwise correlation-based distance |
| fit_buds | Fit Bayesian Unidimensional Scaling model to |
| generic_dist | Compute pairwise generic distances |
| get_D_copies | Posterior samples of noisy dissimilarities |
| get_dist_df | Convert dissimilarity data into input format for BUDS |
| get_input_for_distatis | Get data in a format for DiSTATIS |
| get_subset_tau | Data subset along gradient |
| get_tau_df | Extract tau |
| kNN_dist | k-nearest neighbours distance. |
| kNN_idx | Indices for k-nearest neighbours. |
| low_dim_vis | Low dimensional data representation. Compute reduced... |
| merge_heatmap_opts | Merge default options for a heatmap |
| plot_buds_1D | Plot 1D latent coordinates |
| plot_buds_trajectory | Plot data trajectory in 2 or3D |
| plot_distatis | Plot DiSTATIS representation of the data |
| plot_features_curves | Plot features |
| plot_kNN_mean_dist | Plot distance to kNN |
| plot_matrix | Plot matrix |
| plot_ord | Plot PCoA |
| plot_ordered_matrix | Plot ordered data matrix |
| plot_point_contours | Plot data point contours |
| prin_curve_loc | Principal curve locations |
| run_distatis | Distatis ordination coordiantes |
| transform_dist | Rank based transform distances to triangular distribution |
