R: Optimal Pairing and Matching via Linear Assignment

# Optimal Pairing and Matching via Linear Assignment

## Documentation for package ‘couplr’ version 1.2.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

assignment | Linear assignment solver
assignment_duals | Solve assignment problem and return dual variables
as_assignment_matrix | Convert assignment result to a binary matrix
as_matchit | Convert couplr Result to matchit Object
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
bal.tab.cem_result | Balance Table for Matching Results (cobalt integration)
bal.tab.full_matching_result | Balance Table for Matching Results (cobalt integration)
bal.tab.matching_result | Balance Table for Matching Results (cobalt integration)
bal.tab.subclass_result | Balance Table for Matching Results (cobalt integration)
balance_diagnostics | Balance Diagnostics for Matched Pairs
balance_diagnostics.cem_result | Balance Diagnostics for Matched Pairs
balance_diagnostics.full_matching_result | Balance Diagnostics for Matched Pairs
balance_diagnostics.matching_result | Balance Diagnostics for Matched Pairs
balance_diagnostics.subclass_result | Balance Diagnostics for Matched Pairs
balance_table | Create Balance Table
bottleneck_assignment | Solve the Bottleneck Assignment Problem
cardinality_match | Cardinality Matching
cem_match | Coarsened Exact 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
full_match | Full Matching
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
join_matched.cem_result | Join Matched Pairs with Original Data
join_matched.full_matching_result | Join Matched Pairs with Original Data
join_matched.matching_result | Join Matched Pairs with Original Data
join_matched.subclass_result | 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
matchmaker | Create blocks for stratified matching
match_couples | Optimal matching using linear assignment
match_data | Extract Analysis-Ready Data from Matching Results
match_data.cem_result | Extract Analysis-Ready Data from Matching Results
match_data.full_matching_result | Extract Analysis-Ready Data from Matching Results
match_data.matching_result | Extract Analysis-Ready Data from Matching Results
match_data.subclass_result | Extract Analysis-Ready Data from Matching Results
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.cem_result | Print Method for CEM Results
print.distance_object | Print Method for Distance Objects
print.full_matching_result | Print Method for Full Matching Results
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.subclass_result | Print Method for Subclassification Results
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
subclass_match | Subclassification on Propensity Score
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