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dbarts (version 0.9-34)

Discrete Bayesian Additive Regression Trees Sampler

Description

Fits Bayesian additive regression trees (BART; Chipman, George, and McCulloch (2010) ) 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'.

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Version

Install

install.packages('dbarts')

Monthly Downloads

5,886

Version

0.9-34

License

GPL (>= 2)

Issues

41

Pull Requests

1

Stars

61

Forks

25

Maintainer

Vincent Dorie Developer

Last Published

August 21st, 2026

Functions in dbarts (0.9-34)

xbart

Crossvalidation For Bayesian Additive Regression Trees
updatePredictorPerObservationJointly

Jointly Update a Shared Predictor per Observation Across Samplers
dbartsSampler-class

Class "dbartsSampler" of Discrete Bayesian Additive Regression Trees Sampler
dbartsControl

Discrete Bayesian Additive Regression Trees Sampler Control
dbartsData

Discrete Bayesian Additive Regression Trees Sampler Data
guessNumCores

Guess Number of Cores
dbarts

Discrete Bayesian Additive Regression Trees Sampler
rbart

Bayesian Additive Regression Trees with Random Effects
makeModelMatrixFromDataFrame

Make Model Matrix from Data Frame
pdbart

Partial Dependence Plots for BART
bart

Bayesian Additive Regression Trees