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cff-version: 1.2.0
message: 'To cite package "rjaf" in publications use:'
type: software
license: GPL-3.0-only
title: 'rjaf: Regularized Joint Assignment Forest with Treatment Arm Clustering'
version: 0.1.0
doi: 10.32614/CRAN.package.rjaf
abstract: 'Personalized assignment to one of many treatment arms via regularized and
  clustered joint assignment forests as described in Ladhania, Spiess, Ungar, and
  Wu (2023) <https://doi.org/10.48550/arXiv.2311.00577>. The algorithm pools information
  across treatment arms: it considers a regularized forest-based assignment algorithm
  based on greedy recursive partitioning that shrinks effect estimates across arms;
  and it incorporates a clustering scheme that combines treatment arms with consistently
  similar outcomes.'
authors:
- family-names: Wu
  given-names: Wenbo
  email: Wenbo.Wu@med.nyu.edu
  orcid: https://orcid.org/0000-0002-7642-9773
- family-names: Zhang
  given-names: Xinyi
  email: zhang.xinyi@nyu.edu
  orcid: https://orcid.org/0009-0007-7306-491X
- family-names: Spiess
  given-names: Jann
  email: jspiess@stanford.edu
  orcid: https://orcid.org/0000-0002-4120-8241
- family-names: Ladhania
  given-names: Rahul
  email: ladhania@umich.edu
  orcid: https://orcid.org/0000-0002-7902-7681
repository: https://CRAN.R-project.org/package=rjaf
repository-code: https://github.com/wustat/rjaf
url: https://github.com/wustat/rjaf
date-released: '2024-11-11'
contact:
- family-names: Zhang
  given-names: Xinyi
  email: zhang.xinyi@nyu.edu
  orcid: https://orcid.org/0009-0007-7306-491X