An advanced implementation of Bayesian Additive Regression Trees with expanded features for data analysis and visualization.
Version: | 1.3 |
Depends: | R (≥ 2.14.0), rJava (≥ 0.9-8), bartMachineJARs (≥ 1.2), randomForest, missForest |
Imports: | graphics, grDevices, stats |
Published: | 2022-08-26 |
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 |
Reference manual: | bartMachine.pdf |
Vignettes: |
bartMachine |
Package source: | bartMachine_1.3.tar.gz |
Windows binaries: | r-devel: bartMachine_1.3.zip, r-release: bartMachine_1.3.zip, r-oldrel: bartMachine_1.3.zip |
macOS binaries: | r-release (arm64): bartMachine_1.3.tgz, r-oldrel (arm64): bartMachine_1.3.tgz, r-release (x86_64): bartMachine_1.3.tgz, r-oldrel (x86_64): bartMachine_1.3.tgz |
Old sources: | bartMachine archive |
Reverse imports: | EnsembleBase |
Reverse suggests: | BayesTreePrior, CBDA, condvis2, MachineShop, mlr, SuperLearner, superMICE |
Reverse enhances: | tidytreatment |
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