swager/crossEstimation: High-Dimensional Regression Adjustments in Randomized Experiments
Version 1.0

Use cross estimation procedure to estimate average treatment effects and confidence intervals for randomized experiments. The 'glmnet' and 'randomForest' packages are used for estimation of the regression adjustments.

Getting started

Package details

AuthorStefan Wager, Wenfei Du
MaintainerStefan Wager <[email protected]>
LicenseGPL-2
Version1.0
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("swager/crossEstimation")
swager/crossEstimation documentation built on May 26, 2017, 11:06 p.m.