Package: dbarts 0.9-34

dbarts: Discrete Bayesian Additive Regression Trees Sampler

Fits Bayesian additive regression trees (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) while allowing the updating of predictors or response so that BART can be incorporated as a conditional model in a Gibbs/Metropolis-Hastings sampler. Also serves as a drop-in replacement for package 'BayesTree'.

Authors:Vincent Dorie [aut, cre], Hugh Chipman [aut], Robert McCulloch [aut], Armon Dadgar [ctb], R Core Team [ctb], Guido U Draheim [ctb], Maarten Bosmans [ctb], Christophe Tournayre [ctb], Michael Petch [ctb], Rafael de Lucena Valle [ctb], Steven G. Johnson [ctb], Matteo Frigo [ctb], John Zaitseff [ctb], Todd Veldhuizen [ctb], Luc Maisonobe [ctb], Scott Pakin [ctb], Daniel Richard G. [ctb]

dbarts_0.9-34.tar.gz
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dbarts_0.9-34.tgz(r-4.6-x86_64)dbarts_0.9-34.tgz(r-4.6-arm64)dbarts_0.9-34.tgz(r-4.5-x86_64)dbarts_0.9-34.tgz(r-4.5-arm64)
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dbarts_0.9-34.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
dbarts/json (API)

# Install 'dbarts' in R:
install.packages('dbarts', repos = c('https://vdorie.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vdorie/dbarts/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

11.58 score 61 stars 18 packages 652 scripts 5.6k downloads 2 mentions 15 exports 0 dependencies

Last updated from:cb29055019. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK185
linux-devel-x86_64OK182
source / vignettesOK273
linux-release-arm64OK163
linux-release-x86_64OK177
macos-release-arm64OK130
macos-release-x86_64OK227
macos-oldrel-arm64OK133
macos-oldrel-x86_64OK356
windows-devel-arm64OK307
windows-devel-x86_64OK356
windows-release-arm64OK255
windows-release-x86_64OK172
windows-oldrel-x86_64OK145
wasm-releaseOK128

Exports:bartbart2dbartsdbartsControldbartsDataextractguessNumCoresmakeindmakeModelMatrixFromDataFramemakeTestModelMatrixpd2bartpdbartrbart_viupdatePredictorPerObservationJointlyxbart

Dependencies:

Working with dbarts Saved Trees
Simulation | Model Fitting | Extracting Trees | Flattened Trees | Tree Traversal | Plotting Trees | Getting Tree Predictions | Counts for New Data | Advanced Traversal | References
Rendered fromworking_with_saved_trees.Rmdusingknitr::rmarkdown

Last update: 2026-07-02
Started: 2022-01-24

Building a Gibbs Sampler with dbarts
Model | Conditonal Posteriors | Simulated Data | Implementing a Gibbs Sampler | Saveing the sampler | Visualizing the Result | Multiple Threading
Rendered fromgibbs_sampler_mixture_model.Rmdusingknitr::rmarkdown

Last update: 2020-12-21
Started: 2020-12-21

Readme and manuals

Help Manual

Help pageTopics
Bayesian Additive Regression Treesbart bart2 extract extract.bart fitted.bart plot.bart predict.bart residuals.bart
Discrete Bayesian Additive Regression Trees Samplerdbarts
Discrete Bayesian Additive Regression Trees Sampler ControldbartsControl
Discrete Bayesian Additive Regression Trees Sampler DatadbartsData
Class "dbartsSampler" of Discrete Bayesian Additive Regression Trees SamplerdbartsSampler dbartsSampler-class \S4method{copy}{dbartsSampler} \S4method{getTrees}{dbartsSampler} \S4method{plotTree}{dbartsSampler} \S4method{predict}{dbartsSampler} \S4method{printTrees}{dbartsSampler} \S4method{run}{dbartsSampler} \S4method{sampleNodeParametersFromPrior}{dbartsSampler} \S4method{sampleTreesFromPrior}{dbartsSampler} \S4method{setControl}{dbartsSampler} \S4method{setCutPoints}{dbartsSampler} \S4method{setData}{dbartsSampler} \S4method{setModel}{dbartsSampler} \S4method{setOffset}{dbartsSampler} \S4method{setPredictor}{dbartsSampler} \S4method{setResponse}{dbartsSampler} \S4method{setSigma}{dbartsSampler} \S4method{setTestOffset}{dbartsSampler} \S4method{setTestPredictorAndOffset}{dbartsSampler} \S4method{setTestPredictor}{dbartsSampler} \S4method{show}{dbartsSampler} \S4method{startThreads}{dbartsSampler} \S4method{stopThreads}{dbartsSampler}
Guess Number of CoresguessNumCores
Make Model Matrix from Data Framemakeind makeModelMatrixFromDataFrame makeTestModelMatrix
Partial Dependence Plots for BARTpd2bart pdbart plot.pd2bart plot.pdbart
Bayesian Additive Regression Trees with Random Effectsextract.rbart fitted.rbart plot.rbart predict.rbart rbart_vi residuals.rbart
Jointly Update a Shared Predictor per Observation Across SamplersupdatePredictorPerObservationJointly
Crossvalidation For Bayesian Additive Regression Treesxbart