Package: htetree
Type: Package
Title: Causal Inference with Tree-Based Machine Learning Algorithms
Version: 0.1.23
Authors@R: c(
    person("Jiahui", "Xu", email = "jiahuixu@ucla.edu", role = c("cre", "aut")),
    person("Tanvi", "Shinkre", email = "tanvishinkre@ucla.edu", role = "aut"),
    person("Jennie", "Brand", email = "brand@soc.ucla.edu", role = "aut"))
Description: 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.
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
License: GPL-2 | GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2026-03-26 07:11:58 UTC; jiahuixu
Author: Jiahui Xu [cre, aut],
  Tanvi Shinkre [aut],
  Jennie Brand [aut]
Maintainer: Jiahui Xu <jiahuixu@ucla.edu>
Repository: CRAN
Date/Publication: 2026-03-26 07:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 13:28:24 UTC; unix
Archs: htetree.so.dSYM
