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MatchIt (version 4.5.0)

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

15,256

Version

4.5.0

License

GPL (>= 2)

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Last Published

November 16th, 2022

Functions in MatchIt (4.5.0)

mahalanobis_dist

Compute a Distance Matrix
matchit

Matching for Causal Inference
lalonde

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

Propensity scores and other distance measures
method_cardinality

Cardinality Matching
MatchIt-package

MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
match.data

Construct a matched dataset from a matchit object
add_s.weights

Add sampling weights to a matchit object
method_exact

Exact Matching
method_cem

Coarsened Exact Matching
rbind.matchdata

Append matched datasets together
plot.matchit

Generate Balance Plots after Matching and Subclassification
method_quick

Fast Generalized Full Matching
plot.summary.matchit

Generate a Love Plot of Standardized Mean Differences
method_nearest

Nearest Neighbor Matching
method_optimal

Optimal Pair Matching
summary.matchit

View a balance summary of a matchit object
method_full

Optimal Full Matching
method_genetic

Genetic Matching
method_subclass

Subclassification