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: 0.9-1
Depends: R (≥ 3.1-0)
Imports: stats, methods, graphics
Suggests: testthat (≥ 0.9-0)
Published: 2018-03-05
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: README NEWS
CRAN checks: dbarts results


Reference manual: dbarts.pdf
Package source: dbarts_0.9-1.tar.gz
Windows binaries: r-devel: dbarts_0.9-1.zip, r-release: dbarts_0.9-1.zip, r-oldrel: dbarts_0.9-1.zip
OS X El Capitan binaries: r-release: dbarts_0.9-1.tgz
OS X Mavericks binaries: r-oldrel: not available
Old sources: dbarts archive

Reverse dependencies:

Reverse imports: treatSens
Reverse linking to: treatSens
Reverse suggests: SuperLearner


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