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'.

Tests Vignettes

Available Snapshots

This version of dbarts can be found in the following snapshots:


Imports/Depends/LinkingTo/Enhances (1)
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  • testthat >= 0.9-0
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