ehkennedy/npcausal: Nonparametric causal inference methods
Version 0.1.0

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.

Getting started

Package details

AuthorEdward H. Kennedy
MaintainerEdward H. Kennedy <[email protected]>
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
ehkennedy/npcausal documentation built on June 20, 2018, 4:24 a.m.