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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:1.0-10
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:2025-12-11
DOI:10.32614/CRAN.package.bartCause
Author:Vincent DorieORCID iD [aut, cre], Jennifer HillORCID iD [aut]
Maintainer:Vincent Dorie <vdorie at gmail.com>
BugReports:https://github.com/vdorie/bartCause/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://github.com/vdorie/bartCause
NeedsCompilation:no
Citation:bartCause citation info
Materials:NEWS
In views:Bayesian,CausalInference
CRAN checks:bartCause results

Documentation:

Reference manual:bartCause.html ,bartCause.pdf

Downloads:

Package source: bartCause_1.0-10.tar.gz
Windows binaries: r-devel:bartCause_1.0-10.zip, r-release:bartCause_1.0-10.zip, r-oldrel:bartCause_1.0-10.zip
macOS binaries: r-release (arm64):bartCause_1.0-10.tgz, r-oldrel (arm64):bartCause_1.0-10.tgz, r-release (x86_64):bartCause_1.0-10.tgz, r-oldrel (x86_64):bartCause_1.0-10.tgz
Old sources: bartCause archive

Reverse dependencies:

Reverse depends:plotBart
Reverse imports:CRE,evalITR
Reverse suggests:tidytreatment

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bartCauseto link to this page.


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