mcf

Name	mcf JSON
Version	0.7.1 JSON
	download
home_page	https://mcfpy.github.io/mcf/#/
Summary	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.
upload_time	2024-09-27 16:50:53
maintainer	None
docs_url	None
author	mlechner
requires_python	None
license	MIT
keywords	causal machine learning heterogeneous treatment effects causal forests optimal policy learning
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            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.

            

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