This package provides a variety of tools for nonparametric estimation of causal effects across a wide range of settings. The methods are based on the theory of influence functions, and can incorporate flexible machine learning and highdimensional regression tools, while still yielding inference in the form of confidence intervals and hypothesis tests. Many of the methods are doubly robust.
Package details 


Author  Edward H. Kennedy 
Maintainer  Edward H. Kennedy <[email protected]> 
License  GPL 
Version  0.1.0 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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