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.html ,BART.pdf |
| Vignettes: | The BART R package (source) |
| 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: | bmabart,cjbart |
| Reverse imports: | AuxSurvey,bartMan,bartXViz,borrowr,CIMTx,paths,RCTrep,riAFTBART,SAMTx,tidytreatment,varPro |
| Reverse suggests: | bark,condvis2,CRE,familiar,MachineShop,StratifiedMedicine |
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