Regularized Joint Assignment Forest with Treatment Arm Clustering [R package rjaf version 0.1.3]

rjaf: Regularized Joint Assignment Forest with Treatment Arm Clustering

Personalized assignment to one of many treatment arms via regularized and clustered joint assignment forests as described in Ladhania, Spiess, Ungar, and Wu (2023) <doi: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.

Version: 0.1.3

Depends: R (≥ 3.5.0)

Imports: Rcpp, dplyr, tibble, magrittr, readr, randomForest, ranger, forcats, rlang (≥ 1.1.0), tidyr, stringr, MASS

LinkingTo: Rcpp, RcppArmadillo

Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)

Published: 2025年04月10日

DOI: 10.32614/CRAN.package.rjaf

Author: Wenbo Wu ORCID iD [aut, cph], Xinyi Zhang ORCID iD [aut, cre, cph], Jann Spiess ORCID iD [aut, cph], Rahul Ladhania ORCID iD [aut, cph]

Maintainer: Xinyi Zhang <zhang.xinyi at nyu.edu>

BugReports: https://github.com/wustat/rjaf/issues

License: GPL-3

URL: https://github.com/wustat/rjaf

NeedsCompilation: yes

CRAN checks: rjaf results

Documentation:

Reference manual: rjaf.html , rjaf.pdf

Downloads:

Package source: rjaf_0.1.3.tar.gz

Windows binaries: r-devel: rjaf_0.1.3.zip, r-release: rjaf_0.1.3.zip, r-oldrel: rjaf_0.1.3.zip

macOS binaries: r-release (arm64): rjaf_0.1.3.tgz, r-oldrel (arm64): rjaf_0.1.3.tgz, r-release (x86_64): rjaf_0.1.3.tgz, r-oldrel (x86_64): rjaf_0.1.3.tgz

Old sources: rjaf archive

Linking:

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