Nothing
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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Jiahui Xu [cre, aut], Tanvi Shinkre [aut], Jennie Brand [aut] |
| Maintainer | Jiahui Xu <jiahuixu@ucla.edu> |
| License | GPL-2 | GPL-3 |
| Version | 0.1.20 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the htetree package in your browser
Any scripts or data that you put into this service are public.
