graphics, extraDistr, runjags, coda, bridgesampling, parallel,
ggplot2
scales, testthat, vdiffr, covr, rjags, rstan

graphics, extraDistr, runjags, coda, bridgesampling, parallel,
ggplot2, Rdpack

graphics, extraDistr, mvtnorm, rjags, runjags, coda,
bridgesampling, parallel, ggplot2, Rdpack
scales, testthat, vdiffr, covr, knitr, rstan, BayesFactor,
rmarkdown

graphics, extraDistr, mvtnorm, coda, bridgesampling, parallel,
ggplot2, Rdpack
scales, testthat, vdiffr, covr, knitr, rstan, rjags, runjags,
BayesFactor, rmarkdown

graphics, extraDistr, mvtnorm, runjags, coda, bridgesampling,
parallel, ggplot2, Rdpack

Hugh Chipman, Robert McCulloch <robert.mcculloch@gsb.uchicago.edu>
see Bayesian Additive Regression Trees, Chipman, George, McCulloch (2005) at the URL

Hugh Chipman <hugh.chipman@acadiau.ca>, Robert McCulloch <robert.mcculloch@chicagogsb.edu>
Implementation of BART:Bayesian Additive Regression Trees, Chipman, George, McCulloch (2006)

Hugh Chipman <hugh.chipman@gmail.com>, Robert McCulloch
<robert.mcculloch1@gmail.com>
Implementation of BART:Bayesian Additive Regression Trees,
Chipman, George, McCulloch (2009)

Hugh Chipman <hugh.chipman@gmail.com>, Robert McCulloch
<robert.e.mcculloch@gmail.com>
Implementation of BART:Bayesian Additive Regression Trees,
Chipman, George, McCulloch (2010)

This is an implementation of BART:Bayesian Additive Regression Trees,
by Chipman, George, McCulloch (2010).

Provides a way to simulate from the prior distribution of Bayesian trees by Chipman et al. (1998) <DOI:10.2307/2669832>. The prior distribution of Bayesian trees is highly dependent on the design matrix X, therefore using the suggested hyperparameters by Chipman et al. (1998) <DOI:10.2307/2669832> is not recommended and could lead to unexpected prior distribution. This work is part of my master thesis (expected 2016).

Provides a way to simulate from the prior distribution of Bayesian trees by Chipman et al. (1998) <DOI:10.2307/2669832>. The prior distribution of Bayesian trees is highly dependent on the design matrix X, therefore using the suggested hyperparameters by Chipman et al. (1998) <DOI:10.2307/2669832> is not recommended and could lead to unexpected prior distribution. This work is part of my master thesis (In revision, expected 2016) and a journal publication I'm working on.