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: 1.0-2
Depends: R (≥ 3.1-0)
Imports: dbarts (≥ 0.9-16), methods, stats, graphics, parallel, utils, grDevices
Suggests: testthat (≥ 0.9-0), lme4, rpart, tmle
Published: 2020-04-02
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
CRAN checks: bartCause results

Downloads:

Reference manual: bartCause.pdf
Package source: bartCause_1.0-2.tar.gz
Windows binaries: r-devel: bartCause_1.0-2.zip, r-release: bartCause_1.0-2.zip, r-oldrel: bartCause_1.0-2.zip
macOS binaries: r-release: bartCause_1.0-2.tgz, r-oldrel: bartCause_1.0-2.tgz

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