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bartMachine: Bayesian Additive Regression Trees

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

Version: 1.3.4.1 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 qc.cuny.edu> 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 Documentation: Reference manual: bartMachine.pdf Vignettes: bartMachine
Downloads: Package source: bartMachine_1.3.4.1.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, flowml, MachineShop, SuperLearner, superMICE, vivid Reverse enhances: tidytreatment Linking:

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