Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes. For more information see Sparapani, Spanbauer and McCulloch <doi:10.18637/jss.v097.i01>.
| Version: | 2.9 |
| Depends: | R (≥ 2.10), nlme, nnet, survival |
| Imports: | Rcpp (≥ 0.12.3), parallel, tools |
| LinkingTo: | Rcpp |
| Suggests: | MASS, knitr, rmarkdown |
| Published: | 2021-01-05 |
| Author: | Robert McCulloch [aut], Rodney Sparapani [aut, cre], Charles Spanbauer [aut], Robert Gramacy [aut], Matthew Pratola [aut], Martyn Plummer [ctb], Nicky Best [ctb], Kate Cowles [ctb], Karen Vines [ctb] |
| Maintainer: | Rodney Sparapani <rsparapa at mcw.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | BART citation info |
| Materials: | NEWS |
| In views: | Bayesian, MachineLearning |
| CRAN checks: | BART results |
| Reference manual: | BART.pdf |
| Vignettes: |
The BART R package |
| Package source: | BART_2.9.tar.gz |
| Windows binaries: | r-devel: BART_2.9.zip, r-release: BART_2.9.zip, r-oldrel: BART_2.9.zip |
| macOS binaries: | r-release (arm64): BART_2.9.tgz, r-oldrel (arm64): BART_2.9.tgz, r-release (x86_64): BART_2.9.tgz, r-oldrel (x86_64): BART_2.9.tgz |
| Old sources: | BART archive |
| Reverse depends: | cjbart |
| Reverse imports: | borrowr, CIMTx, paths, riAFTBART, SAMTx |
| Reverse suggests: | condvis2, CRE, familiar, MachineShop, StratifiedMedicine, tidytreatment |
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