MatchIt: Nonparametric Preprocessing for Parametric Causal Inference
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MATCHIT: Nonparametric Preprocessing for Parametric Causal Inference1
Daniel E. Ho,2
Kosuke Imai,3
Gary King,4
Elizabeth A. Stuart5
[Also available is a downloadable PDF version of this entire document]
- Contents
- Introduction
- Statistical Overview
- User's Guide to MATCHIT
- Reference Manual
- matchit(): Implementation of Matching Methods
- summary(): Numerical Summaries of Balance
- plot(): Graphical Summaries of Balance
- match.data(): Extracting the Matched Data Set
- Frequently Asked Questions
- How do I Cite this Work?
- What if My datasets Are Big and Are Taking Up Too Much Memory?
- How Exactly are the Weights Created?
- How Do I Create Observation Names?
- How Can I See Outcomes of Matched Pairs?
- How Do I Ensure Replicability As MATCHIT Versions Develop?
- How Do I Use My Own Distance Measure with MATCHIT?
- What Do I Do about Missing Data?
- Why Preprocessing?
- What's New?
- Bibliography
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