bartMachine: Bayesian Additive Regression Trees

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

Version: 1.2.6
Depends: R (≥ 2.14.0), rJava (≥ 0.9-8), bartMachineJARs (≥ 1.0), randomForest, missForest
Imports: graphics, grDevices, stats
Published: 2020-12-17
Author: Adam Kapelner and Justin Bleich (R package)
Maintainer: Adam Kapelner <kapelner at qc.cuny.edu>
License: GPL-3
Copyright: see file COPYRIGHTS
NeedsCompilation: no
SystemRequirements: Java (>= 7.0)
Citation: bartMachine citation info
Materials: ChangeLog
In views: MachineLearning
CRAN checks: bartMachine results

Downloads:

Reference manual: bartMachine.pdf
Vignettes: bartMachine
Package source: bartMachine_1.2.6.tar.gz
Windows binaries: r-devel: bartMachine_1.2.6.zip, r-release: bartMachine_1.2.6.zip, r-oldrel: bartMachine_1.2.6.zip
macOS binaries: r-release (arm64): bartMachine_1.2.6.tgz, r-release (x86_64): bartMachine_1.2.6.tgz, r-oldrel: bartMachine_1.2.6.tgz
Old sources: bartMachine archive

Reverse dependencies:

Reverse imports: CovSelHigh, EnsembleBase
Reverse suggests: BayesTreePrior, CBDA, condvis2, MachineShop, mlr, SuperLearner
Reverse enhances: tidytreatment

Linking:

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