add_s.weights |
Add sampling weights to a 'matchit' object |
distance |
Propensity scores and other distance measures |
euclidean_dist |
Compute a Distance Matrix |
get_matches |
Construct a matched dataset from a 'matchit' object |
lalonde |
Data from National Supported Work Demonstration and PSID, as analyzed by Dehejia and Wahba (1999). |
mahalanobis_dist |
Compute a Distance Matrix |
match.data |
Construct a matched dataset from a 'matchit' object |
matchit |
Matching for Causal Inference |
method_cardinality |
Cardinality Matching |
method_cem |
Coarsened Exact Matching |
method_exact |
Exact Matching |
method_full |
Optimal Full Matching |
method_genetic |
Genetic Matching |
method_nearest |
Nearest Neighbor Matching |
method_optimal |
Optimal Pair Matching |
method_quick |
Fast Generalized Full Matching |
method_subclass |
Subclassification |
plot.matchit |
Generate Balance Plots after Matching and Subclassification |
plot.matchit.subclass |
Generate Balance Plots after Matching and Subclassification |
plot.summary.matchit |
Generate a Love Plot of Standardized Mean Differences |
print.matchit |
Matching for Causal Inference |
print.summary.matchit |
View a balance summary of a 'matchit' object |
print.summary.matchit.subclass |
View a balance summary of a 'matchit' object |
rbind.getmatches |
Append matched datasets together |
rbind.matchdata |
Append matched datasets together |
robust_mahalanobis_dist |
Compute a Distance Matrix |
scaled_euclidean_dist |
Compute a Distance Matrix |
summary.matchit |
View a balance summary of a 'matchit' object |
summary.matchit.subclass |
View a balance summary of a 'matchit' object |