compress | Compresses a data matrix based on mutual information... |
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... |
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... |
mutual_total_nested | Calculates a nested decomposition of segregation for M and H |
mutual_within | Calculates detailed within-category segregation scores for M... |
schools00 | Ethnic/racial composition of schools for 2000/2001 |
schools05 | Ethnic/racial composition of schools for 2005/2006 |
school_ses | Student-level data including SES status |
scree_plot | Scree plot for segregation compression |
segcurve | A visual representation of two-group segregation |
segplot | A visual representation of segregation |
segregation | segregation: Entropy-based segregation indices |
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