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).