Learn R Programming

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 .)

Copy Link

Version

Install

install.packages('MatchIt')

Monthly Downloads

21,768

Version

4.5.5

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

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