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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 <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_2.9.9.tar.gz |
| Windows binaries: | r-devel: BART_2.9.9.zip, r-release: BART_2.9.9.zip, r-oldrel: BART_2.9.9.zip |
| macOS binaries: | r-release (arm64): BART_2.9.9.tgz, r-oldrel (arm64): BART_2.9.9.tgz, r-release (x86_64): BART_2.9.9.tgz, r-oldrel (x86_64): BART_2.9.9.tgz |
| Old sources: | BART archive |
| Reverse depends: | cjbart |
| Reverse imports: | AuxSurvey, bartMan, borrowr, CIMTx, paths, RCTrep, riAFTBART, SAMTx |
| Reverse suggests: | bark, condvis2, CRE, familiar, MachineShop, StratifiedMedicine, tidytreatment |
Please use the canonical form https://CRAN.R-project.org/package=BART to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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