aggregate_ga_results    Aggregate GA Results from Multiple JSON Files
                        returned by run_ga_batch
clustering_genetic_algorithm
                        Clustering of a Cocktail List using DBSCAN on
                        UMAP Projection
compute_score           Compute scores for supplied node combinations
decode_treehunt_solutions
                        Decode treehunt node indexes
filter_out_cocktails    Filter a list of cocktails accoring to the mean
                        depth of nodes inside each cocktail. A cocktail
                        is kept if the mean depth of his nodes is
                        greater than 'mean_depth_cocktail' (default =
                        3). This function aim is to provide more
                        interpretable cocktail to the user.
fit_pwp_rao_context     Fit the reduced PWP model and prepare a
                        Rao-score context
get_dissimilarity_of_list
                        Compute the dissimilarity matrix on a list of
                        cocktails
get_taker               Identify observations covered by hierarchical
                        combinations
map_cocktail_names      Map Cocktail Indices to Names Saved GA
                        combinations use zero-based node indices; tree
                        rows use one-based indices.
mcmc_size_2_true_score_distribution
                        Run MCMC Algorithm to Compute the Score
                        Distribution Among Node Combinations of Size 2
plot_ga_clusters        Plot GA Clustering Results
process_ga_scores       Process and Attach GA Scores and Statistics
                        (Generic)
refit_pwp_combinations
                        Refit selected combinations with
                        patient-clustered Cox models
run_ga_batch            Run Multiple Genetic Algorithm Replicates from
                        Configuration
run_genetic_algorithm   Run Genetic Algorithm for High Score Nodes
                        Combination Search
run_genetic_algorithm_df_tree
                        Run Genetic Algorithm for High Score Nodes
                        Combination Search
run_mcmc                Run MCMC Algorithm for Estimation of Score
                        Distribution Among Nodes of The Tree
run_mcmc_df_tree        Run MCMC Algorithm for Estimation of Score
                        Distribution Among Nodes of The Tree
run_pwp_genetic_algorithm
                        Run the genetic algorithm with the PWP Rao
                        fitness
run_pwp_mcmc            Run MCMC with the PWP Rao fitness
score_pwp_combinations
                        Evaluate full Rao statistics for combinations
summarize_ga_pipeline   Complete GA Results Analysis Pipeline (Generic)
uniform_score_reference
                        Recover the uniform score reference from a
                        tempered MCMC trajectory
weight_ess              Effective sample size based on importance
                        weights
