bartMachine: Bayesian Additive Regression Trees

An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.

Depends: R (≥ 2.14.0), rJava (≥ 0.9-8), bartMachineJARs (≥ 1.2.1), randomForest, missForest
Imports: graphics, grDevices, stats
Published: 2023-07-06
DOI: 10.32614/CRAN.package.bartMachine
Author: Adam Kapelner and Justin Bleich (R package)
Maintainer: Adam Kapelner <kapelner at>
License: GPL-3
Copyright: see file COPYRIGHTS
NeedsCompilation: no
SystemRequirements: Java (>= 8.0)
Citation: bartMachine citation info
Materials: ChangeLog
In views: Bayesian, MachineLearning
CRAN checks: bartMachine results


Reference manual: bartMachine.pdf
Vignettes: bartMachine


Package source: bartMachine_1.3.4.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bartMachine_1.3.4.1.tgz, r-oldrel (arm64): bartMachine_1.3.4.1.tgz, r-release (x86_64): bartMachine_1.3.4.1.tgz, r-oldrel (x86_64): bartMachine_1.3.4.1.tgz
Old sources: bartMachine archive

Reverse dependencies:

Reverse imports: bartMan, EnsembleBase, iBART
Reverse suggests: BayesTreePrior, condvis2, evalITR, flowml, MachineShop, SuperLearner, superMICE
Reverse enhances: tidytreatment


Please use the canonical form to link to this page.