CRE: Interpretable Discovery and Inference of Heterogeneous Treatment Effects

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
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

Documentation:

Reference manual:	CRE.pdf
Vignettes:	CRE Contribution Testing the CRE package

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CRE to link to this page.