builtin_dist_funs       All built-in feature dissimilarity functions
compute_fs_results      Compute preliminary feature selection results
                        for RAFS
cor_dist                Feature dissimilarity based on Pearson's
                        Correlation (cor)
create_seeded_folds     Create seeded folds
default_dist_funs       Default feature dissimilarity functions
default_fs_fun          Default (example) feature selection function
                        for RAFS
default_hclust_methods
                        Default hclust methods
get_rafs_all_reps_from_popcnts
                        Get all representatives from their popcnts
get_rafs_occurrence_matrix
                        Get co-occurrence matrix from RAFS results
get_rafs_rep_tuples_matrix
                        Get representatives' tuples' co-representation
                        matrix from RAFS results
get_rafs_rep_tuples_popcnts
                        Get representatives' tuples' popularity counts
                        (popcnts) from RAFS results
get_rafs_reps_popcnts   Get representatives' popularity counts
                        (popcnts) from RAFS results
get_rafs_top_rep_tuples_from_popcnts
                        Get top (i.e., most common) representatives's
                        tuples from their popcnts
get_rafs_top_reps_from_popcnts
                        Get top (i.e., most common) representatives
                        from their popcnts
get_rafs_tops_popcnts   Get top popularity counts (popcnts) from FS
                        results
get_run_id              Generate CV run identifiers
run_rafs                Robust Aggregative Feature Selection (RAFS)
run_rafs_with_fs_results
                        Robust Aggregative Feature Selection (RAFS)
                        from feature selection results
stig_dist               Symmetric Target Information Gain (STIG)
                        computed directly
stig_from_ig_dist       Symmetric Target Information Gain (STIG)
                        computed from single Information Gains (IGs)
stig_stable_dist        Symmetric Target Information Gain (STIG)
                        computed directly but with pre-computed 1D
                        conditional entropy (aka stable)
vi_dist                 Variation of Information (VI)
