Multivariate and Propensity Score Matching with Balance Optimization

Provides functions for multivariate and propensity score matching and for finding optimal balance based on a genetic search algorithm. A variety of univariate and multivariate metrics to determine if balance has been obtained are also provided.


Jasjeet S. Sekhon

Introduction

This website is for the distribution of "Matching" which is a R package for estimating causal effects by multivariate and propensity score matching. The package provides functions for multivariate and propensity score matching and for finding optimal balance based on a genetic search algorithm. A variety of univariate and multivariate tests to determine if balance has been obtained are also provided. These tests can also be used to determine if an experiment or quasi-experiment is balanced on baseline covariates.

For an introduction to the package with documentation and examples, please see "Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R." Journal of Statistical Software, 42(7): 1-52. 2011.

How to install

A version is on CRAN. The latest development version can be installed directly from Github using devtools.

if (!require("devtools")) install.packages("devtools")
devtools::install_github("JasjeetSekhon/Matching")

The package contains compiled code, and you must have a development environment to install the development version. (Use devtools::has_devel() to check whether you do.) If no development environment exists, Windows users download and install Rtools and macOS users download and install Xcode.

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Reference manual

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