aggTrees is an R package for aggregation trees, a nonparametric approach designed to discover heterogeneous subgroups in a selection-on-observables framework. This method helps researchers assess treatment effect heterogeneity by constructing a hierarchical sequence of optimal groupings, enabling estimation and inference of the group average treatment effects at different levels of granularity.
Key features
✔ Data-driven subgroup discovery for causal inference.
✔ Optimal partitions for identifying treatment effect heterogeneity.
✔ Point estimation and inference for the average treatment effect of each subgroup.
✔ Fully nonparametric — no need to pre-specify effect moderators.
✔ Seamless integration with standard econometric workflows.
✔ Active development & support - open-source and actively maintained.
🚀 Installation
To install the latest stable version from CRAN:
install.packages("aggTrees")Alternatively, the current development version of the package can be installed using the devtools package:
devtools::install_github("riccardo-df/aggTrees") # run install.packages("devtools") if needed.Contributing
We welcome contributions! If you encounter issues, have feature requests, or want to contribute to the package, please follow the guidelines below.
📌 Report an issue: If you encounter a bug or have a suggestion, please open an issue on GitHub: Submit an issue
📌 Contribute code: We encourage contributions via pull requests. Before submitting, please: 1. Fork the repository and create a new branch. 2. Ensure that your code follows the existing style and documentation conventions. 3. Run tests and check for package integrity. 4. Submit a pull request with a clear description of your changes.
📌 Feature requests: If you have ideas for new features or extensions, feel free to discuss them by opening an issue.