DESCRIPTION

Package: netchain
Type: Package
Title: Inferring Causal Effects on Collective Outcomes under Interference
Version: 0.1.0
Date: 2019-01-02
Authors@R: c(person("Elizabeth", "Ogburn", role="aut",
	   	        email="eogburn@jhu.edu"),
          person("Ilya", "Shpitser", role = "aut",
	   	    email = "ilyas@cs.jhu.edu"),
	     person("Youjin", "Lee", role = c("aut", "cre"),
	     	    email = "ylee160@jhu.edu"))
Maintainer: Youjin Lee <ylee160@jhu.edu>
Description: In networks, treatments may spill over from the treated individual to his or her social contacts and outcomes may be contagious over time. Under this setting, causal inference on the collective outcome observed over all network is often of interest. We use chain graph models approximating the projection of the full longitudinal data onto the observed data to identify the causal effect of the intervention on the whole outcome. Justification of such approximation is demonstrated in Ogburn et al. (2018) <arXiv:1812.04990>.
License: GPL (>=3) | file LICENSE
Imports: Rcpp (>= 0.12.17), Matrix, gtools, stringr, stats, igraph
Suggests: knitr, rmarkdown,
    testthat, R.rsp
LinkingTo: Rcpp
VignetteBuilder: R.rsp
RoxygenNote: 6.1.1
Encoding: UTF-8