bartCause: Causal Inference using Bayesian Additive Regression Trees (original) (raw)
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: | 1.0-9 |
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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: | 2024-09-16 |
DOI: | 10.32614/CRAN.package.bartCause |
Author: | Vincent Dorie [aut, cre], Jennifer Hill [aut] |
Maintainer: | Vincent Dorie |
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 |
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