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.
Version: 0.1.20 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 Published: 2025-01-13 DOI: 10.32614/CRAN.package.htetree Author: Jiahui Xu [cre, aut], Tanvi Shinkre [aut], Jennie Brand [aut] Maintainer: Jiahui Xu <jiahuixu at ucla.edu> License: GPL-2 | GPL-3 NeedsCompilation: yes CRAN checks: htetree results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=htetree to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4