as_assignment_matrix    Convert assignment result to a binary matrix
assignment              Linear assignment solver
assignment_duals        Solve assignment problem and return dual
                        variables
augment                 Generic Augment Function
augment.matching_result
                        Augment Matching Results with Original Data
                        (broom-style)
autoplot.balance_diagnostics
                        ggplot2 autoplot for balance diagnostics
autoplot.matching_result
                        ggplot2 autoplot for matching results
autoplot.sensitivity_analysis
                        ggplot2 autoplot for sensitivity analysis
balance_diagnostics     Balance Diagnostics for Matched Pairs
balance_table           Create Balance Table
bottleneck_assignment   Solve the Bottleneck Assignment Problem
cardinality_match       Cardinality Matching
compute_distances       Compute and Cache Distance Matrix for Reuse
diagnose_distance_matrix
                        Diagnose distance matrix and suggest fixes
example_costs           Example cost matrices for assignment problems
example_df              Example assignment problem data frame
get_method_used         Extract method used from assignment result
get_total_cost          Extract total cost from assignment result
greedy_couples          Fast approximate matching using greedy
                        algorithm
hospital_staff          Hospital staff scheduling example dataset
is_distance_object      Check if Object is a Distance Object
is_lap_solve_batch_result
                        Check if object is a batch assignment result
is_lap_solve_kbest_result
                        Check if object is a k-best assignment result
is_lap_solve_result     Check if object is an assignment result
join_matched            Join Matched Pairs with Original Data
lap_solve               Solve linear assignment problems
lap_solve_batch         Solve multiple assignment problems efficiently
lap_solve_kbest         Find k-best optimal assignments
lap_solve_line_metric   Solve 1-D Line Assignment Problem
match_couples           Optimal matching using linear assignment
matchmaker              Create blocks for stratified matching
pixel_morph             Pixel-level image morphing (final frame only)
pixel_morph_animate     Pixel-level image morphing (animation)
plot.balance_diagnostics
                        Plot method for balance diagnostics
plot.matching_result    Plot method for matching results
plot.sensitivity_analysis
                        Plot method for sensitivity analysis (base
                        graphics)
preprocess_matching_vars
                        Preprocess matching variables with automatic
                        checks and scaling
print.balance_diagnostics
                        Print Method for Balance Diagnostics
print.distance_object   Print Method for Distance Objects
print.lap_solve_batch_result
                        Print method for batch assignment results
print.lap_solve_kbest_result
                        Print method for k-best assignment results
print.lap_solve_result
                        Print method for assignment results
print.matching_result   Print method for matching results
print.matchmaker_result
                        Print method for matchmaker results
print.preprocessing_result
                        Print method for preprocessing result
print.sensitivity_analysis
                        Print method for sensitivity analysis
print.variable_health   Print method for variable health
ps_match                Propensity Score Matching
sensitivity_analysis    Rosenbaum Sensitivity Analysis
sinkhorn                'Sinkhorn-Knopp' optimal transport solver
sinkhorn_to_assignment
                        Round 'Sinkhorn' transport plan to hard
                        assignment
summary.balance_diagnostics
                        Summary method for balance diagnostics
summary.distance_object
                        Summary Method for Distance Objects
summary.lap_solve_kbest_result
                        Get summary of k-best results
summary.matching_result
                        Summary method for matching results
summary.sensitivity_analysis
                        Summary method for sensitivity analysis
update_constraints      Update Constraints on Distance Object
