CMatching: Matching Algorithms for Causal Inference with Clustered Data

Provides functions to perform matching algorithms for causal inference with clustered data, as described in B. Arpino and M. Cannas (2016) <doi:10.1002/sim.6880>. Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.

Package details

AuthorMassimo Cannas [aut, cre], Bruno Arpino [ctb], Elena Colicino [ctb]
MaintainerMassimo Cannas <[email protected]>
Package repositoryView on CRAN
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CMatching documentation built on Oct. 5, 2018, 5:05 p.m.