Skip to content

Latest commit

 

History

History
25 lines (18 loc) · 1.03 KB

references.rst

File metadata and controls

25 lines (18 loc) · 1.03 KB

References

Open Source Software Projects

Python Packages

  • DoWhy: a package for causal inference based on causal graphs.
  • CausalLift: a package for uplift modeling based on T-learner kunzel2019metalearners.
  • PyLift: a package for uplift modeling based on the transformed outcome method in athey2016recursive.
  • EconML: a package for treatment effect estimation with orthogonal random forest oprescu2018orthogonal, DeepIV hartford2017deep and other ML methods.

R Packages

  • uplift: a package for treatment effect estimation with ML.
  • grf: a package for forest-based honest estimation from athey2019generalized.

Papers

refs.bib