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: | 0.2.6 |
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: | 2024-04-21 |
DOI: | 10.32614/CRAN.package.CRE |
Author: | Naeem Khoshnevis [aut, cre] (FASRC), Daniela Maria Garcia [aut], Riccardo Cadei [aut], Kwonsang Lee [aut], Falco Joannes Bargagli Stoffi [aut] |
Maintainer: | Naeem Khoshnevis <nkhoshnevis at g.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 |
Reference manual: | CRE.pdf |
Vignettes: |
CRE Contribution Testing the CRE package |
Package source: | CRE_0.2.6.tar.gz |
Windows binaries: | r-devel: CRE_0.2.6.zip, r-release: CRE_0.2.6.zip, r-oldrel: CRE_0.2.6.zip |
macOS binaries: | r-release (arm64): CRE_0.2.6.tgz, r-oldrel (arm64): CRE_0.2.6.tgz, r-release (x86_64): CRE_0.2.6.tgz, r-oldrel (x86_64): CRE_0.2.6.tgz |
Old sources: | CRE archive |
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