A B C D E F G H I J L M P R S T U V
| animated_methods | List Methods That Support Animation |
| as.data.frame.assignment_duals_result | Solve an Assignment Problem and Return Dual Potentials |
| as.data.frame.couplr_path | Solve a Sequence of Matchings over One Design Parameter |
| as.data.frame.couplr_result | Matching Results |
| as.data.frame.sensitivity_analysis | Rosenbaum Sensitivity Analysis |
| as.matrix.distance_object | Compute and Cache a Distance Matrix |
| as.matrix.sinkhorn_result | Entropic Optimal Transport by Sinkhorn-Knopp Iteration |
| assignment | Solve a Linear Assignment Problem |
| assignment_duals | Solve an Assignment Problem and Return Dual Potentials |
| as_assignment_matrix | Convert an Assignment Result to a Binary Matrix |
| as_matchit | Convert a Matching Result to a matchit Object |
| augment.couplr_result | Join Matched Pairs with the Original Data |
| autoplot.balance_diagnostics | Balance Diagnostics for Matched Samples |
| autoplot.matching_result | Matching Results |
| autoplot.sensitivity_analysis | Rosenbaum Sensitivity Analysis |
| bal.tab.couplr_result | Balance Tables from cobalt for Matching Results |
| bal.tab.subclass_result | Balance Tables from cobalt for Matching Results |
| balance_diagnostics | Balance Diagnostics for Matched Samples |
| balance_diagnostics.cem_result | Balance Diagnostics for Matched Samples |
| balance_diagnostics.full_matching_result | Balance Diagnostics for Matched Samples |
| balance_diagnostics.matching_result | Balance Diagnostics for Matched Samples |
| balance_diagnostics.subclass_result | Balance Diagnostics for Matched Samples |
| balance_table | Balance Table of a Balance Diagnostics Object |
| bottleneck_assignment | Solve the Bottleneck Assignment Problem |
| cardinality_match | Cardinality Matching |
| cem_match | Coarsened Exact Matching |
| certificate | Certificate, Potentials and Unmatched Units of a Result |
| compute_distances | Compute and Cache a Distance Matrix |
| couplr_result | Matching Results |
| diagnose_distance_matrix | Diagnose a Distance Matrix |
| estimate_dense_matrix_mb | Estimate the Memory of a Dense Cost Matrix |
| estimate_dense_solve_mb | Estimate the Peak Memory of a Dense Solve |
| example_costs | Example Cost Matrices |
| example_df | Example Assignment Data Frame |
| explain_dispatch | Explain the Automatic Solver Choice |
| full_match | Full Matching |
| get_method_used | Solve a Linear Assignment Problem |
| get_total_cost | Solve a Linear Assignment Problem |
| glance.assignment_certificate | Certificate, Potentials and Unmatched Units of a Result |
| glance.cardinality_certificate | Certificate, Potentials and Unmatched Units of a Result |
| glance.couplr_result | Matching Results |
| glance.flow_certificate | Certificate, Potentials and Unmatched Units of a Result |
| hospital_staff | Hospital Staff Example Data |
| is_distance_object | Compute and Cache a Distance Matrix |
| is_lap_solve_batch_result | Solve Many Assignment Problems |
| is_lap_solve_kbest_result | Find the k Best Assignments |
| is_lap_solve_result | Solve a Linear Assignment Problem |
| join_matched | Join Matched Pairs with the Original Data |
| join_matched.cem_result | Join Matched Pairs with the Original Data |
| join_matched.full_matching_result | Join Matched Pairs with the Original Data |
| join_matched.matching_result | Join Matched Pairs with the Original Data |
| join_matched.subclass_result | Join Matched Pairs with the Original Data |
| lap_animate | Animate an Assignment Algorithm |
| lap_solve | Solve Linear Assignment Problems with a Tidy Interface |
| lap_solvers | Assignment Solvers |
| lap_solve_batch | Solve Many Assignment Problems |
| lap_solve_kbest | Find the k Best Assignments |
| lap_solve_line_metric | Solve a One-Dimensional Assignment Problem |
| matchmaker | Create Blocks for Stratified Matching |
| match_couples | Optimal and Greedy Pair Matching |
| match_data | Extract Analysis-Ready Data from a Matching Result |
| match_data.cem_result | Extract Analysis-Ready Data from a Matching Result |
| match_data.full_matching_result | Extract Analysis-Ready Data from a Matching Result |
| match_data.matching_result | Extract Analysis-Ready Data from a Matching Result |
| match_data.subclass_result | Extract Analysis-Ready Data from a Matching Result |
| match_path | Solve a Sequence of Matchings over One Design Parameter |
| pixel_morph | Pixel-Level Image Morphing |
| pixel_morph_animate | Animated Pixel-Level Image Morphing |
| plot.balance_diagnostics | Balance Diagnostics for Matched Samples |
| plot.couplr_path | Solve a Sequence of Matchings over One Design Parameter |
| plot.matching_result | Matching Results |
| plot.sensitivity_analysis | Rosenbaum Sensitivity Analysis |
| potentials | Certificate, Potentials and Unmatched Units of a Result |
| preprocess_matching_vars | Check Matching Variables and Choose Scaling |
| print.assignment_certificate | Verify That an Assignment Is Optimal |
| print.assignment_duals_result | Solve an Assignment Problem and Return Dual Potentials |
| print.balance_diagnostics | Balance Diagnostics for Matched Samples |
| print.cardinality_certificate | Certificate, Potentials and Unmatched Units of a Result |
| print.couplr_path | Solve a Sequence of Matchings over One Design Parameter |
| print.couplr_result | Matching Results |
| print.dispatch_explanation | Explain the Automatic Solver Choice |
| print.distance_diagnostics | Diagnose a Distance Matrix |
| print.distance_object | Compute and Cache a Distance Matrix |
| print.flow_certificate | Verify That a Flow Is Optimal |
| print.lap_solve_batch_result | Solve Many Assignment Problems |
| print.lap_solve_kbest_result | Find the k Best Assignments |
| print.lap_solve_result | Solve a Linear Assignment Problem |
| print.matchmaker_result | Create Blocks for Stratified Matching |
| print.pixel_morph_animation | Animated Pixel-Level Image Morphing |
| print.preprocessing_result | Check Matching Variables and Choose Scaling |
| print.sensitivity_analysis | Rosenbaum Sensitivity Analysis |
| print.sinkhorn_result | Entropic Optimal Transport by Sinkhorn-Knopp Iteration |
| print.variable_health | Check Matching Variables and Choose Scaling |
| ps_match | Propensity Score Matching |
| register_lap_solver | Assignment Solvers |
| result_accessors | Certificate, Potentials and Unmatched Units of a Result |
| sensitivity_analysis | Rosenbaum Sensitivity Analysis |
| sinkhorn | Entropic Optimal Transport by Sinkhorn-Knopp Iteration |
| sinkhorn_to_assignment | Round a Sinkhorn Transport Plan to an Assignment |
| solver_status_values | Solver Status Values |
| subclass_match | Subclassification on Propensity Score |
| summary.assignment_certificate | Verify That an Assignment Is Optimal |
| summary.assignment_duals_result | Solve an Assignment Problem and Return Dual Potentials |
| summary.balance_diagnostics | Balance Diagnostics for Matched Samples |
| summary.bottleneck_result | Solve the Bottleneck Assignment Problem |
| summary.cardinality_certificate | Certificate, Potentials and Unmatched Units of a Result |
| summary.couplr_path | Solve a Sequence of Matchings over One Design Parameter |
| summary.couplr_result | Matching Results |
| summary.dispatch_explanation | Explain the Automatic Solver Choice |
| summary.distance_diagnostics | Diagnose a Distance Matrix |
| summary.distance_object | Compute and Cache a Distance Matrix |
| summary.flow_certificate | Verify That a Flow Is Optimal |
| summary.lap_line_metric_result | Solve a One-Dimensional Assignment Problem |
| summary.lap_solve_batch_result | Solve Many Assignment Problems |
| summary.lap_solve_kbest_result | Find the k Best Assignments |
| summary.lap_solve_result | Solve a Linear Assignment Problem |
| summary.matchmaker_result | Create Blocks for Stratified Matching |
| summary.pixel_morph_animation | Animated Pixel-Level Image Morphing |
| summary.preprocessing_result | Check Matching Variables and Choose Scaling |
| summary.sensitivity_analysis | Rosenbaum Sensitivity Analysis |
| summary.sinkhorn_result | Entropic Optimal Transport by Sinkhorn-Knopp Iteration |
| summary.variable_health | Check Matching Variables and Choose Scaling |
| tidy.couplr_result | Matching Results |
| unmatched_units | Certificate, Potentials and Unmatched Units of a Result |
| update_constraints | Update the Constraints of a Distance Object |
| verify_assignment | Verify That an Assignment Is Optimal |
| verify_flow | Verify That a Flow Is Optimal |