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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: 1.0-8
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
Author: Vincent Dorie ORCID iD [aut, cre], Jennifer Hill ORCID 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.pdf

Downloads:

Package source: bartCause_1.0-8.tar.gz
Windows binaries: r-devel: bartCause_1.0-8.zip, r-release: bartCause_1.0-8.zip, r-oldrel: bartCause_1.0-8.zip
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

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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