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MatchIt

Nonparametric Preprocessing for Parametric Causal Inference

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) <DOI:10.1093/pan/mpl013>.

Functions (15)

add_s.weights

Add sampling weights to a matchit object

distance

Propensity scores and other distance measures

lalonde

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

match.data

Construct a matched dataset from a matchit object

matchit

Matching for Causal Inference

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_subclass

Subclassification

plot.matchit

Generate Balance Plots after Matching and Subclassification

plot.summary.matchit

Generate a Love Plot of Standardized Mean Differences

summary.matchit

View a balance summary of a matchit object

MatchIt

Nonparametric Preprocessing for Parametric Causal Inference

v4.1.0

GPL (>= 2)

Authors

Daniel Ho [aut] (<https://orcid.org/0000-0002-2195-5469>), Kosuke Imai [aut] (<https://orcid.org/0000-0002-2748-1022>), Gary King [aut] (<https://orcid.org/0000-0002-5327-7631>), Elizabeth Stuart [aut] (<https://orcid.org/0000-0002-9042-8611>), Alex Whitworth [ctb], Noah Greifer [ctb, cre, aut] (<https://orcid.org/0000-0003-3067-7154>)

Initial release

MatchIt

Functions (15)

MatchIt

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