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.
|Author||Sören Künzel, Allen Tang, Peter Bickel, Bin Yu, Jasjeet Sekhon|
|Maintainer||Sören Künzel <[email protected]>, Allen Tang <[email protected]>|
|Package repository||View on GitHub|
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