README.md

In ehkennedy/npcausal: Nonparametric causal inference methods

npcausal

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.

Installing

To install and load this package in R from GitHub, run the following commands:

install.packages("devtools")
library(devtools) 
install_github("ehkennedy/npcausal")
library(npcausal)

ehkennedy/npcausal documentation built on Feb. 26, 2021, 2:43 a.m.