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 |
Reference manual: | htetree.pdf |
Package source: | htetree_0.1.20.tar.gz |
Windows binaries: | r-devel: htetree_0.1.20.zip, r-release: htetree_0.1.20.zip, r-oldrel: htetree_0.1.20.zip |
macOS binaries: | r-devel (arm64): htetree_0.1.20.tgz, r-release (arm64): htetree_0.1.20.tgz, r-oldrel (arm64): htetree_0.1.20.tgz, r-devel (x86_64): htetree_0.1.20.tgz, r-release (x86_64): htetree_0.1.20.tgz, r-oldrel (x86_64): htetree_0.1.20.tgz |
Old sources: | htetree archive |
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