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BART: Bayesian Additive Regression Trees

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: 2.9.7
Depends: R (≥ 3.6), nlme, nnet, survival
Imports: Rcpp (≥ 0.12.3), parallel, tools
LinkingTo: Rcpp
Suggests: MASS, knitr, rmarkdown
Published: 2024-04-06
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

Documentation:

Reference manual: BART.pdf
Vignettes: The BART R package

Downloads:

Package source: BART_2.9.7.tar.gz
Windows binaries: r-devel: BART_2.9.7.zip, r-release: BART_2.9.7.zip, r-oldrel: BART_2.9.7.zip
macOS binaries: r-release (arm64): BART_2.9.7.tgz, r-oldrel (arm64): BART_2.9.7.tgz, r-release (x86_64): BART_2.9.7.tgz, r-oldrel (x86_64): BART_2.9.7.tgz
Old sources: BART archive

Reverse dependencies:

Reverse depends: cjbart
Reverse imports: bartMan, borrowr, CIMTx, paths, RCTrep, SAMTx
Reverse suggests: bark, condvis2, CRE, familiar, MachineShop, StratifiedMedicine, tidytreatment

Linking:

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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