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pypi.org : mcf

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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purl: pkg:pypi/mcf
Keywords: causal machine learning , heterogeneous treatment effects , causal forests , optimal policy learning
License: MIT
Latest release: 7 months ago
First release: almost 4 years ago
Dependent repositories: 1
Downloads: 567 last month
Stars: 17 on GitHub
Forks: 8 on GitHub
Total Commits: 350
Committers: 17
Average commits per author: 20.588
Development Distribution Score (DDS): 0.246
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Last synced: 27 days ago

hannahbussi
1 package
567 downloads
hbodory
1 package
567 downloads
mlechner
1 package
567 downloads
ana_armendariz
Owner
1 package
567 downloads
fodermatt
1 package
567 downloads