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'.

Version: 0.9-11
Depends: R (≥ 3.1-0)
Imports: stats, methods, graphics, parallel
Suggests: testthat (≥ 0.9-0)
Published: 2019-04-20
Author: Vincent Dorie [aut, cre], Hugh Chipman [aut], Robert McCulloch [aut]
Maintainer: Vincent Dorie <vdorie at gmail.com>
BugReports: https://github.com/vdorie/dbarts/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/vdorie/dbarts
NeedsCompilation: yes
Citation: dbarts citation info
Materials: NEWS
CRAN checks: dbarts results

Downloads:

Reference manual: dbarts.pdf
Package source: dbarts_0.9-11.tar.gz
Windows binaries: r-devel: dbarts_0.9-11.zip, r-release: dbarts_0.9-11.zip, r-oldrel: dbarts_0.9-11.zip
OS X binaries: r-release: dbarts_0.9-11.tgz, r-oldrel: dbarts_0.9-8.tgz
Old sources: dbarts archive

Reverse dependencies:

Reverse suggests: SuperLearner

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dbarts to link to this page.