DESCRIPTION

Package: npcausal
Type: Package
Title: Nonparametric causal inference methods
Version: 0.1.0
Author: Edward H. Kennedy
Maintainer: Edward H. Kennedy <edward@stat.cmu.edu>
Description: 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 high-dimensional regression tools, while still yielding inference in the form of confidence intervals and hypothesis tests. Many of the methods are doubly robust.
License: GPL
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1