Function reference • MatchIt

Matching
`matchit()` `print(<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
`distance`	Propensity scores and other distance measures
`mahalanobis_dist()` `scaled_euclidean_dist()` `robust_mahalanobis_dist()` `euclidean_dist()`	Compute a Distance Matrix
`add_s.weights()`	Add sampling weights to a `matchit` object
Assessing Balance
`summary(<matchit>)` `summary(<matchit.subclass>)` `print(<summary.matchit>)`	View a balance summary of a `matchit` object
`plot(<summary.matchit>)`	Generate a Love Plot of Standardized Mean Differences
`plot(<matchit>)` `plot(<matchit.subclass>)`	Generate Balance Plots after Matching and Subclassification
Extracting Matched Data
`match.data()` `get_matches()`	Construct a matched dataset from a `matchit` object
`rbind(<matchdata>)` `rbind(<getmatches>)`	Append matched datasets together
Datasets
`lalonde`	Data from National Supported Work Demonstration and PSID, as analyzed by Dehejia and Wahba (1999).

Reference