BART: Bayesian Additive Regression Trees (original) (raw)
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: | 2.9.9 |
|---|---|
| Depends: | R (≥ 3.6), nlme, survival |
| Imports: | Rcpp (≥ 0.12.3), parallel, tools |
| LinkingTo: | Rcpp |
| Suggests: | MASS, knitr, rmarkdown |
| Published: | 2024-06-21 |
| DOI: | 10.32614/CRAN.package.BART |
| Author: | Robert McCulloch [aut], Rodney Sparapani [aut, cre], Robert Gramacy [ctb], Matthew Pratola [ctb], Charles Spanbauer [ctb], Martyn Plummer [ctb], Nicky Best [ctb], Kate Cowles [ctb], Karen Vines [ctb] |
| Maintainer: | Rodney Sparapani |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Citation: | BART citation info |
| Materials: | |
| In views: | Bayesian, MachineLearning |
| CRAN checks: | BART results |
Documentation:
Downloads:
Reverse dependencies:
| Reverse depends: | cjbart |
|---|---|
| Reverse imports: | bartMan, borrowr, CIMTx, paths, RCTrep, riAFTBART, SAMTx |
| Reverse suggests: | bark, condvis2, CRE, familiar, MachineShop, StratifiedMedicine, tidytreatment |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=BARTto link to this page.