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.
|Author||Massimo Cannas [aut, cre], Bruno Arpino [ctb], Elena Colicino [ctb]|
|Maintainer||Massimo Cannas <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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