compress                Compresses a data matrix based on mutual
                        information (segregation)
dissimilarity           Calculates Index of Dissimilarity
dissimilarity_expected
                        Calculates expected values when true
                        segregation is zero
entropy                 Calculates the entropy of a distribution
exposure                Calculates pairwise exposure indices
get_crosswalk           Create crosswalk after compression
ipf                     Adjustment of marginal distributions using
                        iterative proportional fitting
isolation               Calculates isolation indices
matrix_to_long          Turns a contingency table into long format
merge_units             Creates a compressed dataset
mutual_difference       Decomposes the difference between two M indices
mutual_expected         Calculates expected values when true
                        segregation is zero
mutual_local            Calculates local segregation scores based on M
mutual_total            Calculates the Mutual Information Index M and
                        Theil's Entropy Index H
mutual_total_nested     Calculates a nested decomposition of
                        segregation for M and H
mutual_within           Calculates detailed within-category segregation
                        scores for M and H
school_ses              Student-level data including SES status
schools00               Ethnic/racial composition of schools for
                        2000/2001
schools05               Ethnic/racial composition of schools for
                        2005/2006
scree_plot              Scree plot for segregation compression
segcurve                A visual representation of two-group
                        segregation
segplot                 A visual representation of segregation
