Fits Bayesian additive regression trees (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) while allowing the updating of predictors or response so that BART can be incorporated as a conditional model in a Gibbs/MH sampler. Also serves as a drop-in replacement for package 'BayesTree'.
| Version: | 0.9-3 |
| Depends: | R (≥ 3.1-0) |
| Imports: | stats, methods, graphics, parallel |
| Suggests: | testthat (≥ 0.9-0) |
| Published: | 2018-04-18 |
| Author: | Vincent Dorie [aut, cre], Hugh Chipman [aut], Robert McCulloch [aut] |
| Maintainer: | Vincent Dorie <vdorie at gmail.com> |
| BugReports: | https://github.com/vdorie/dbarts/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/vdorie/dbarts |
| NeedsCompilation: | yes |
| Citation: | dbarts citation info |
| Materials: | README NEWS |
| CRAN checks: | dbarts results |
| Reference manual: | dbarts.pdf |
| Package source: | dbarts_0.9-3.tar.gz |
| Windows binaries: | r-devel: dbarts_0.9-3.zip, r-release: dbarts_0.9-3.zip, r-oldrel: dbarts_0.9-3.zip |
| OS X binaries: | r-release: dbarts_0.9-3.tgz, r-oldrel: dbarts_0.9-3.tgz |
| Old sources: | dbarts archive |
| Reverse imports: | treatSens |
| Reverse linking to: | treatSens |
| Reverse suggests: | SuperLearner |
Please use the canonical form https://CRAN.R-project.org/package=dbarts to link to this page.