clusteredinterference1.0.1 package

Causal Effects from Observational Studies with Clustered Interference

Estimating causal effects from observational studies assuming clustered (or partial) interference. These inverse probability-weighted estimators target new estimands arising from population-level treatment policies. The estimands and estimators are introduced in Barkley et al. (2017) <arXiv:1711.04834>.

  • Maintainer: Brian G. Barkley
  • License: GPL-3
  • Last published: 2019-03-18