clusteringMethodSelection
                        Method Selection through intra-method Consensus
                        Partition Consistency
clusterVoting           Estimating number of clusters through internal
                        exhaustive ensemble majority voting
feasibilityAnalysis     Simulating dataset and calculate stabilities
                        over different number of clusters
feasibilityAnalysisDataBased
                        Simulating dataset based on existing dataset's
                        dimensions, mean and standard deviation
featureSelection        Predictor variable subsampling sets and
                        bootstrapping stability set selection
get_agreement_scores    Get a dataframe of partition agreement scores
                        for a set of random parameters clustering runs
                        across different methods
get_average_feature_k_stabilities
                        Get a dataframe of average bootstrap
                        stabilities
get_average_stabilities_per_k
                        Get average stabilities for all numbers of
                        clusters(k)
get_average_stability   Get the average stability(over all k)
get_cluster_memberships_k
                        Get cluster memberships for every k
get_cluster_voting_k_votes
                        Get k vote frequencies
get_cluster_voting_memberships
                        Get cluster memberships for every k
get_cluster_voting_metric_votes
                        Get a dataframe with the k votes for every
                        index
get_cluster_voting_scores
                        Get a matrix with metric scores for every k and
                        internal index
get_feature_selection_optimal_features
                        Get the optimal features
get_feature_selection_optimal_number_of_features
                        Get the optimal number of features
get_feature_selection_scores
                        Get a dataframe of average bootstrap
                        stabilities
get_generated_dataset   Get the simulated dataset
get_internal_metric_scores
                        Get a matrix with metric scores for every k and
                        internal index
get_max_stability       Get the maximum stability
get_metric_votes_k      Get a dataframe with the k votes for every
                        index
get_optimal_features    Get the optimal features
get_optimal_memberships
                        Get a dataframe with the memberships of the
                        samples found in the input data
get_optimal_number_of_features
                        Get the optimal number of features
get_optimal_parameter_used
                        Get the optimal parameter used
get_optimal_stability_score
                        Get the optimal stability score
get_partition_agreement_scores
                        Get a dataframe of partition agreement scores
                        for a set of random parameters clustering runs
                        across different methods
get_sample_memberships
                        Get a dataframe with the memberships of the
                        samples found in the input data
get_vote_frequencies_k
                        Get k vote frequencies
omada                   A wrapper function that utilizes all tools to
                        produce the optimal sample memberships
optimalClustering       Clustering with the optimal parameters
                        estimated by these tools
partitionAgreement      Partition Agreement calculation between two
                        clustering runs
plot_average_stabilities
                        Plot the average bootstrap stabilities
plot_cluster_voting     Plot k vote frequencies
plot_feature_selection
                        Plot the average bootstrap stabilities
plot_partition_agreement
                        Plot of partition agreement scores
plot_vote_frequencies   Plot k vote frequencies
toy_gene_memberships    Cluster memberships for toy gene data for
                        package examples
toy_genes               Toy gene data for package examples
