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.
- Version0.1.19
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release10/13/2024
Documentation
Team
- Jiahui Xu
- Tanvi ShinkreShow author detailsRolesAuthor
- Jennie BrandShow author detailsRolesAuthor
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports11 packages
- Suggests6 packages