Draw Causal Inference from Observational Studies with Clustered Interference

clusteredinterference implements the estimators from Barkley et al. (2017) Causal Inference from Observational Studies with Clustered Interference <arXiv:1711.04834>. These are inverse probability of treatment-weighted estimators for estimating the causal effects on outcomes of population-level treatment policies.

Details

These estimators are implemented in one function, policyFX. A healthy amount of documentation can be found in the vignette included in this package: vignette("estimate-policyFX").