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]>
LicenseGPL-2
Version2.2.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("CMatching")

Try the CMatching package in your browser

Any scripts or data that you put into this service are public.

CMatching documentation built on Oct. 5, 2018, 5:05 p.m.