Package: CMatching
Title: Matching Algorithms for Causal Inference with Clustered Data
Version: 2.3.0
Authors@R: c(person("Massimo", "Cannas", role = c("aut", "cre"),
                     email = "massimo.cannas@unica.it"),
              person("Bruno", "Arpino", role = c("ctb"),
                     email = "bruno.arpino@upf.edu"),
              person("Elena", "Colicino", role = "ctb",
                     email = "elena.colicino@mssm.edu") )
Date: 2019-02-05
Author: Massimo Cannas [aut, cre],
  Bruno Arpino [ctb],
  Elena Colicino [ctb]
Maintainer: Massimo Cannas <massimo.cannas@unica.it>
Description: 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. 
Depends: R (>= 2.6.0), Matching
Imports: stats,lmtest,multiwayvcov,lme4
Suggests: MASS
LazyData: false
License: GPL-2
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2019-02-05 11:35:01 UTC; massimo
Repository: CRAN
Date/Publication: 2019-02-05 14:53:35 UTC
