soerenkuenzel/hte: Heterogeneous Treatment Effect Estimator Using Random Forests

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.

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Package details

AuthorSören Künzel, Allen Tang, Peter Bickel, Bin Yu, Jasjeet Sekhon
MaintainerSören Künzel <[email protected]>, Allen Tang <[email protected]>
LicenseGPL (>=3)
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
soerenkuenzel/hte documentation built on June 12, 2018, 4:26 p.m.