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:	2.9.9
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

Documentation:

Reference manual:	BART.pdf
Vignettes:	The BART R package (source)

Downloads:

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 dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BART to link to this page.