rjaf: Regularized Joint Assignment Forest with Treatment Arm Clustering

R C++ Submitted 05 February 2025Published 09 April 2025
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Authors

Wenbo Wu (0000-0002-7642-9773), Xinyi Zhang (0009-0007-7306-491X), Jann Spiess (0000-0002-4120-8241), Rahul Ladhania (0000-0002-7902-7681)

Citation

Wu et al., (2025). rjaf: Regularized Joint Assignment Forest with Treatment Arm Clustering. Journal of Open Source Software, 10(108), 7843, https://doi.org/10.21105/joss.07843

@article{Wu2025, doi = {10.21105/joss.07843}, url = {https://doi.org/10.21105/joss.07843}, year = {2025}, publisher = {The Open Journal}, volume = {10}, number = {108}, pages = {7843}, author = {Wenbo Wu and Xinyi Zhang and Jann Spiess and Rahul Ladhania}, title = {rjaf: Regularized Joint Assignment Forest with Treatment Arm Clustering}, journal = {Journal of Open Source Software} }
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machine learning causal inference multi-arm randomized controlled trial heterogeneous treatment effects personalized treatment rules optimal assignment

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ISSN 2475-9066