soerenkuenzel/hte: Heterogeneous Treatment Effect Estimator Using Random Forests
Version 0.4.0.000

Estimate heterogeneous treatment effects in experimental and observational studies. Implements honest random forest and X-learner using honest random forest in the first and second stage to estimate the Conditional Average Treatment Effect (CATE) function and provides convidence intervals for it.

Getting started

Package details

AuthorSören Künzel, Allen Tang, Peter Bickel, Bin Yu, Jasjeet Sekhon
MaintainerSören Künzel <[email protected]>, Allen Tang <[email protected]>
LicenseGPL (>=3)
Version0.4.0.000
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("soerenkuenzel/hte")
soerenkuenzel/hte documentation built on Jan. 28, 2018, 7:12 p.m.