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MatchIt (version 4.5.5)

Nonparametric Preprocessing for Parametric Causal Inference

Description

Selects matched samples of the original treated and control groups with similar covariate distributions -- can be used to match exactly on covariates, to match on propensity scores, or perform a variety of other matching procedures. The package also implements a series of recommendations offered in Ho, Imai, King, and Stuart (2007) . (The 'gurobi' package, which is not on CRAN, is optional and comes with an installation of the Gurobi Optimizer, available at .)

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install.packages('MatchIt')

Monthly Downloads

18,274

Version

4.5.5

License

GPL (>= 2)

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Last Published

October 13th, 2023

Functions in MatchIt (4.5.5)

MatchIt-package

MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
method_cardinality

Cardinality Matching
method_exact

Exact Matching
lalonde

Data from National Supported Work Demonstration and PSID, as analyzed by Dehejia and Wahba (1999).
add_s.weights

Add sampling weights to a matchit object
match.data

Construct a matched dataset from a matchit object
mahalanobis_dist

Compute a Distance Matrix
method_cem

Coarsened Exact Matching
matchit

Matching for Causal Inference
distance

Propensity scores and other distance measures
plot.matchit

Generate Balance Plots after Matching and Subclassification
method_optimal

Optimal Pair Matching
method_full

Optimal Full Matching
method_nearest

Nearest Neighbor Matching
rbind.matchdata

Append matched datasets together
method_subclass

Subclassification
method_genetic

Genetic Matching
method_quick

Fast Generalized Full Matching
plot.summary.matchit

Generate a Love Plot of Standardized Mean Differences
summary.matchit

View a balance summary of a matchit object