Check out my R package "npcausal" for nonparametric causal inference methods at: github.com/ehkennedy/npcausal
It includes functions for computing causal effect estimators that incorporate flexible machine learning based on the theory of influence functions and sample splitting.
To load npcausal in R, simply run the commands:
Along with standard treatment effect estimators, npcausal can also implement methods from my papers, including:
- Kennedy EH. Nonparametric causal effects based on incremental propensity score interventions. (under review). arxiv:1704.00211
- Kennedy EH, Ma Z, McHugh MD, Small DS. Nonparametric methods for doubly robust estimation of continuous treatment effects. Journal of the Royal Statistical Society: Series B. (to appear). doi:10.1111/rssb.12212 (arxiv:1507.00747)