Type: Package Package: CRE Title: Interpretable Discovery and Inference of Heterogeneous Treatment Effects Version: 0.2.7 Authors@R: c( person("Naeem", "Khoshnevis", , "nkhoshnevis@g.harvard.edu", role = "aut", comment = c(ORCID = "0000-0003-4315-1426")), person("Daniela Maria", "Garcia", , "danielagarcia@college.harvard.edu", role = "aut", comment = c(ORCID = "0000-0003-3226-3561")), person("Riccardo", "Cadei", , "rcadei@hsph.harvard.edu", role = "aut", comment = c(ORCID = "0000-0003-2416-8943")), person("Kwonsang", "Lee", , "kwonsanglee.stat@gmail.com", role = "aut", comment = c(ORCID = "0000-0002-5823-4331")), person("Falco Joannes", "Bargagli Stoffi", , "fbargaglistoffi@hsph.harvard.edu", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-6131-8165")) ) Maintainer: Falco Joannes Bargagli Stoffi Description: 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 . License: GPL-3 URL: https://github.com/NSAPH-Software/CRE BugReports: https://github.com/NSAPH-Software/CRE/issues 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) VignetteBuilder: knitr Copyright: Harvard University Encoding: UTF-8 Language: en-US Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 Config/pak/sysreqs: make libicu-dev Repository: https://nsaph-software.r-universe.dev Date/Publication: 2024-10-20 22:50:48 UTC RemoteUrl: https://github.com/nsaph-software/cre RemoteRef: HEAD RemoteSha: ee2821c89f4896c672f8e528cc0c6d2b67563859 NeedsCompilation: no Packaged: 2026-06-06 07:04:51 UTC; root Author: Naeem Khoshnevis [aut] (ORCID: ), Daniela Maria Garcia [aut] (ORCID: ), Riccardo Cadei [aut] (ORCID: ), Kwonsang Lee [aut] (ORCID: ), Falco Joannes Bargagli Stoffi [aut, cre] (ORCID: )