Project

Tools for finding heterogeneous treatment effects (and means) based on partitioning the covariate/feature space via full cross cuts and solved via greedy search. These splits go across the entire sample rather than done on increasingly smaller blocks (as [Causal Tree])(https://github.com/susanathey/causalTree) does).

This project is currently in an advanced prototype stage. Issues may still be found in common usage. Please create issues for these!

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