Metadata-Version: 1.1
Name: mcf
Version: 0.1.3
Summary: 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
Home-page: https://github.com/MCFpy/mcf
Author: mlechner
Author-email: michael.lechner@unisg.ch
License: MIT
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.
        
Keywords: causal machine learning, heterogeneous treatment effects, causal forests, optimal policy learning
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.8
