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CMatching (version 2.3.0)

Matching Algorithms for Causal Inference with Clustered Data

Description

Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) . Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.

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Version

Install

install.packages('CMatching')

Monthly Downloads

169

Version

2.3.0

License

GPL-2

Maintainer

Massimo Cannas

Last Published

February 5th, 2019

Functions in CMatching (2.3.0)

CMatchBalance

Analyze covariate balance before and after matching.
CMatch

Within and preferential-within cluster matching.
CMatching-package

CMatching
MatchW

Within-cluster Matching
schools

Schools data set (NELS-88)
MatchPW

Preferential Within-cluster Matching
summary.CMatch

Summarizing output from MatchW and MatchPW