Provides a new method for interpretable heterogeneous treatment effects characterization in terms of decision rules via an extensive exploration of heterogeneity patterns by an ensemble-of-trees approach, enforcing high stability in the discovery. It relies on a two-stage pseudo-outcome regression, and it is supported by theoretical convergence guarantees. Bargagli-Stoffi, F. J., Cadei, R., Lee, K., & Dominici, F. (2023) Causal rule ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects. arXiv preprint <doi:10.48550/arXiv.2009.09036>.
| Version: | 0.2.7 |
| Depends: | R (≥ 3.5.0) |
| Imports: | MASS, stats,logger,gbm,randomForest, methods,xgboost,RRF,data.table,xtable,glmnet,bartCause,stabs,stringr,SuperLearner,magrittr,ggplot2,arules |
| Suggests: | grf,BART,gnm,covr,knitr,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2024-10-19 |
| DOI: | 10.32614/CRAN.package.CRE |
| Author: | Naeem Khoshnevis |
| Maintainer: | Falco Joannes Bargagli Stoffi <fbargaglistoffi at hsph.harvard.edu> |
| BugReports: | https://github.com/NSAPH-Software/CRE/issues |
| License: | GPL-3 |
| Copyright: | Harvard University |
| URL: | https://github.com/NSAPH-Software/CRE |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | CRE citation info |
| Materials: | README,NEWS |
| CRAN checks: | CRE results[issues need fixing before 2025-12-22] |
| Reference manual: | CRE.html ,CRE.pdf |
| Vignettes: | CRE (source,R code) Contribution (source,R code) Testing the CRE package (source,R code) |
| Package source: | CRE_0.2.7.tar.gz |
| Windows binaries: | r-devel:CRE_0.2.7.zip, r-release:CRE_0.2.7.zip, r-oldrel:CRE_0.2.7.zip |
| macOS binaries: | r-release (arm64):CRE_0.2.7.tgz, r-oldrel (arm64):CRE_0.2.7.tgz, r-release (x86_64):CRE_0.2.7.tgz, r-oldrel (x86_64):CRE_0.2.7.tgz |
| Old sources: | CRE archive |
Please use the canonical formhttps://CRAN.R-project.org/package=CREto link to this page.