as_matrix               Get matrix from tibble
cluster_elements        Get clusters of elements (e.g., elements or
                        features)
combine_nest            Combine columns and nest data for each
                        permutation
fill_missing            Fill feature value if missing from
                        element-feature pairs
impute_missing          Impute feature value if missing from
                        element-feature pairs
keep_variable           Keep top variable features across elements
lower_triangular        Keep rows corresponding of a lower triangular
                        matrix built from two columns
nest_subset             Nest according to selected-column-wise
                        information
nest_subset,tbl-method
                        nest_subset
permute_nest            Permute columns and nest data for each
                        permutation
reduce_dimensions       Dimension reduction of the feature value data
remove_redundancy       Drop redundant elements (e.g., elements) for
                        which feature (e.g., feature/gene) aboundances
                        are correlated
rotate_dimensions       Rotate two dimensions (e.g., principal
                        components) of an arbitrary angle
subset                  Extract selected-column-wise information
