MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

MatchIt: Nonparametric Preprocessing for Parametric Causal Inference

MatchIt implements the suggestions of Ho, Imai, King, and Stuart (2007) for improving parametric statistical models by preprocessing data with nonparametric matching methods. MatchIt implements a wide range of sophisticated matching methods, making it possible to greatly reduce the dependence of cau...

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Bibliographic Details
Main Authors: Daniel Ho, Kosuke Imai, Gary King, Elizabeth A. Stuart
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2011-08-01
Series:Journal of Statistical Software
Subjects:
matching methods
causal inference
balance
preprocessing
R
Online Access:http://www.jstatsoft.org/v42/i08/paper

Internet

http://www.jstatsoft.org/v42/i08/paper

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