Causal Inference with Tree-Based Machine Learning Algorithms R package htetree version 0.1.23 Estimating heterogeneous treatment effects with tree-based machine learning algorithms and visualizing estimated results in flexible and presentation-ready ways. For more information, see Brand, Xu, Koch, and Geraldo (2021) <doi:10.1177/0081175021993503>. Our current package first started as a fork of the 'causalTree' package on 'GitHub' and we greatly appreciate the authors for their extremely useful and free package. Software Depends: R (>= 3.6.0) Imports: Rcpp, grf, partykit, data.tree, Matching, dplyr, jsonlite, rpart, rpart.plot, shiny, stringr Suggests: optmatch, haven, foreign, data.table, remotes, party Jiahui Xu <jiahuixu@ucla.edu> Comprehensive R Archive Network (CRAN) Jiahui Xu [cre, aut], Tanvi Shinkre [aut], Jennie Brand [aut] GPL-2 GPL-3 2026-03-26 application/tgz https://CRAN.R-project.org/package=htetree doi:10.32614/CRAN.package.htetree