In this paper we introduce the ArCo package for R which consists of a set of functions to implement the the Artificial Counterfactual (ArCo) methodology to estimate causal effects of an intervention (treatment) on aggregated data and when a control group is not necessarily available. The ArCo method is a two-step procedure, where in the first stage a counterfactual is estimated from a large panel of time series from a pool of untreated peers. In the second-stage, the average treatment effect over the post-intervention sample is computed. Standard inferential procedures are available. The package is illustrated with both simulated and real datasets. 

R Journal V 10, P 98-108, 2018

Gabriel F Vasconcelos, Yuri R Fonseca, Marcelo Medeiros, Ricardo Masini.

https://journal.r-project.org/archive/2018/RJ-2018-016/RJ-2018-016.pdf