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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
mcf-0.2.4.tar.gz
(143.0 kB
view hashes)