Nonparametric Preprocessing for Parametric Causal Inference

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Documentation for package ‘MatchIt’ version 4.5.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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