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. For details, see the paper by Jasjeet Sekhon (2007, ).


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.

News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.