Discrete Bayesian Additive Regression Trees Sampler

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


Discrete Bayesian Additive Regression Trees Sampler

A package for R, with C/C++.

Pre-built binaries of the package are available on http://cran.r-project.org/web/packages/dbarts/index.html. These can be installed from within R using the typical install.packages() mechanism.

Steps to install from source:

  1. Install development tools for your operating system:

  2. Linux/Unix should already have this installed

  3. OS X:

    1. Xcode (https://developer.apple.com/xcode/downloads/)
    2. gfortran (https://gcc.gnu.org/wiki/GFortranBinaries#MacOS)
  4. Windows: Rtools (http://cran.r-project.org/bin/windows/Rtools/)

  5. Install the devtools package from within R:

`install.packages("devtools")`
  1. Run:
`install_github("vdorie/dbarts")`

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Reference manual

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install.packages("dbarts")

0.9-3 by Vincent Dorie, 2 months ago


https://github.com/vdorie/dbarts


Report a bug at https://github.com/vdorie/dbarts/issues


Browse source code at https://github.com/cran/dbarts


Authors: Vincent Dorie [aut, cre], Hugh Chipman [aut], Robert McCulloch [aut]


Documentation:   PDF Manual  


Task views:


GPL (>= 2) license


Imports stats, methods, graphics, parallel

Suggests testthat


Imported by treatSens.

Suggested by SuperLearner.


See at CRAN