The Python package mcf implements the Modified Causal Forest introduced by Lechner (2018). This package allows you to estimate heterogeneous treatment effects for binary and multiple treatments from experimental or observational data. Additionally, mcf offers the capability to learn optimal policy allocations.


Keywords
causal, machine, learning, heterogeneous, treatment, effects, forests, optimal, policy
License
MIT
Install
pip install mcf==0.5.1

Documentation