htetree
Causal Inference with Tree-Based Machine Learning Algorithms
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.23 |
rolling source/ R- | htetree_0.1.23.tar.gz |
173.7 KiB |
0.1.23 |
rolling linux/jammy R-4.5 | htetree_0.1.23.tar.gz |
390.3 KiB |
0.1.23 |
rolling linux/noble R-4.5 | htetree_0.1.23.tar.gz |
390.6 KiB |
0.1.23 |
latest source/ R- | htetree_0.1.23.tar.gz |
173.7 KiB |
0.1.23 |
latest linux/jammy R-4.5 | htetree_0.1.23.tar.gz |
390.3 KiB |
0.1.23 |
latest linux/noble R-4.5 | htetree_0.1.23.tar.gz |
390.6 KiB |
0.1.23 |
2026-04-26 source/ R- | htetree_0.1.23.tar.gz |
173.7 KiB |
0.1.23 |
2026-04-23 source/ R- | htetree_0.1.23.tar.gz |
173.7 KiB |
0.1.23 |
2026-04-09 windows/windows R-4.5 | htetree_0.1.23.zip |
393.1 KiB |
0.1.20 |
2025-04-20 source/ R- | htetree_0.1.20.tar.gz |
173.7 KiB |