mcf is a powerful package to estimate heterogeneous treatment effects for multiple treatment models in a selection-on-observables setting and learn optimal policy rules
Project description
mcf is a Python package that provides a fast and easy implementation of the Modified Causal Forest (MCF). The scope of the MCF is to estimate heterogeneous treatment effects for multiple treatment models in a selection-on-observables setting.
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