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")`