as_director             Create a custom director
as_measure              Create a custom metric
as_partition_step       Create a partition object from a data frame
as_partitioner          Create a partitioner
as_reducer              Create a custom reducer
corr                    Efficiently fit correlation coefficient for
                        matrix or two vectors
direct_distance         Target based on minimum distance matrix
direct_k_cluster        Target based on K-means clustering
filter_reduced          Filter the reduced mappings
icc                     Calculate the intraclass correlation
                        coefficient
is_partition            Is this object a partition?
is_partition_step       Is this object a 'partition_step'?
is_partitioner          Is this object a partitioner?
map_partition           Map a partition across a range of minimum
                        information
mapping_key             Return partition mapping key
measure_icc             Measure the information loss of reduction using
                        intraclass correlation coefficient
measure_min_icc         Measure the information loss of reduction using
                        the minimum intraclass correlation coefficient
measure_min_r2          Measure the information loss of reduction using
                        minimum R-squared
measure_std_mutualinfo
                        Measure the information loss of reduction using
                        standardized mutual information
measure_variance_explained
                        Measure the information loss of reduction using
                        the variance explained
mutual_information      Calculate the standardized mutual information
                        of a data set
part_icc                Partitioner: distance, ICC, scaled means
part_kmeans             Partitioner: K-means, ICC, scaled means
part_minr2              Partitioner: distance, minimum R-squared,
                        scaled means
part_pc1                Partitioner: distance, first principal
                        component, scaled means
part_stdmi              Partitioner: distance, mutual information,
                        scaled means
partition               Agglomerative partitioning
partition_scores        Return the reduced data from a partition
permute_df              Permute a data set
plot_area_clusters      Plot partitions
plot_permutation        Plot permutation tests
reduce_cluster          Reduce a target
reduce_first_component
                        Reduce selected variables to first principal
                        component
reduce_kmeans           Reduce selected variables to scaled means
reduce_scaled_mean      Reduce selected variables to scaled means
replace_partitioner     Replace the director, metric, or reducer for a
                        partitioner
scaled_mean             Average and scale rows in a 'data.frame'
simulate_block_data     Simulate correlated blocks of variables
test_permutation        Permute partitions
