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) . Pure within-cluster and preferential within-cluster matching are implemented. Both algorithms provide causal estimates with cluster-adjusted estimates of standard errors.


Reference manual

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2.3.0 by Massimo Cannas, 3 years ago

Browse source code at

Authors: Massimo Cannas [aut, cre] , Bruno Arpino [ctb] , Elena Colicino [ctb]

Documentation:   PDF Manual  

GPL-2 license

Imports stats, lmtest, multiwayvcov, lme4

Depends on Matching

Suggests MASS

See at CRAN