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/MH sampler. Also serves as a drop-in replacement for package 'BayesTree'.

Getting started

Package details

AuthorVincent Dorie [aut, cre], Hugh Chipman [aut], Robert McCulloch [aut]
MaintainerVincent Dorie <[email protected]>
LicenseGPL (>= 2)
URL https://github.com/vdorie/dbarts
Package repositoryView on CRAN
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dbarts documentation built on Dec. 19, 2018, 1:05 a.m.