bartCause: Causal Inference using Bayesian Additive Regression Trees

Contains a variety of methods to generate typical causal inference estimates using Bayesian Additive Regression Trees (BART) as the underlying regression model (Hill (2012) <doi:10.1198/jcgs.2010.08162>).

Version: 1.0-8
Depends: R (≥ 3.1-0)
Imports: dbarts (≥ 0.9-16), methods, stats, graphics, parallel, utils, grDevices
Suggests: testthat (≥ 0.9-0), lme4, rpart, tmle, stan4bart
Published: 2024-05-01
DOI: 10.32614/CRAN.package.bartCause
Author: Vincent Dorie ORCID iD [aut, cre], Jennifer Hill ORCID iD [aut]
Maintainer: Vincent Dorie <vdorie at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: bartCause citation info
Materials: NEWS
In views: Bayesian, CausalInference
CRAN checks: bartCause results


Reference manual: bartCause.pdf


Package source: bartCause_1.0-8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bartCause_1.0-8.tgz, r-oldrel (arm64): bartCause_1.0-8.tgz, r-release (x86_64): bartCause_1.0-8.tgz, r-oldrel (x86_64): bartCause_1.0-8.tgz
Old sources: bartCause archive

Reverse dependencies:

Reverse depends: plotBart
Reverse imports: CRE, evalITR


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