[aut, cre],
Jennifer Hill
[aut]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: | 1.0-3 |
| 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: | 2020-06-15 |
| Author: | Vincent Dorie
[aut, cre],
Jennifer Hill
[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 |
| Reference manual: | bartCause.pdf |
| Package source: | bartCause_1.0-3.tar.gz |
| Windows binaries: | r-devel: bartCause_1.0-3.zip, r-release: bartCause_1.0-3.zip, r-oldrel: bartCause_1.0-3.zip |
| macOS binaries: | r-release: bartCause_1.0-3.tgz, r-oldrel: bartCause_1.0-3.tgz |
| Old sources: | bartCause archive |
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