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: 2026-10-01 10:31:36 UTC; root
Author: Jiahui Xu [cre, aut], Tanvi Shinkre [aut], Jennie Brand [aut]
Maintainer: Jiahui Xu <jiahuixu@ucla.edu>
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev zlib1g-dev
Repository: https://jiahuixu1.r-universe.dev
Date/Publication: 2026-03-26 09:17:01 UTC
RemoteUrl: https://github.com/cran/htetree
RemoteRef: HEAD
RemoteSha: ca3b77abdf95cfea15f9147e52df301196b38575