bartMachine: Bayesian Additive Regression Trees

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

Version: 1.4
Depends: R (≥ 2.14.0)
Imports: bartMachineJARs (≥ 1.2.2), rJava, randomForest, missForest, stats, ggplot2, grid, checkmate, matrixStats, grDevices
Suggests: testthat (≥ 3.0.0), withr
Published: 2026-01-17
DOI: 10.32614/CRAN.package.bartMachine
Author: Adam Kapelner [aut, cre] (ORCID: 0000-0001-5985-6792), Justin Bleich [aut]
Maintainer: Adam Kapelner <kapelner at qc.cuny.edu>
BugReports: https://github.com/kapelner/bartMachine/issues
License: GPL-3
Copyright: see file COPYRIGHTS
NeedsCompilation: no
SystemRequirements: Java (>= 21.0)
Citation: bartMachine citation info
Materials: ChangeLog
In views: Bayesian, MachineLearning
CRAN checks: bartMachine results

Documentation:

Reference manual: bartMachine.html , bartMachine.pdf
Vignettes: bartMachine (source)

Downloads:

Package source: bartMachine_1.4.tar.gz
Windows binaries: r-devel: bartMachine_1.3.4.1.zip, r-release: bartMachine_1.3.4.1.zip, r-oldrel: bartMachine_1.3.4.1.zip
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, bartXViz, iBART
Reverse suggests: BayesTreePrior, condvis2, evalITR, MachineShop, SuperLearner, vivid
Reverse enhances: tidytreatment

Linking:

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