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Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and timetoevent outcomes. For more information on BART, see Chipman, George and McCulloch (2010) <doi:10.1214/09AOAS285> and Sparapani, Logan, McCulloch and Laud (2016) <doi:10.1002/sim.6893>.
Package details 


Author  Robert McCulloch [aut], Rodney Sparapani [aut, cre], Robert Gramacy [aut], Charles Spanbauer [aut], Matthew Pratola [aut], Martyn Plummer [ctb], Nicky Best [ctb], Kate Cowles [ctb], Karen Vines [ctb] 
Maintainer  Rodney Sparapani <rsparapa@mcw.edu> 
License  GPL (>= 2) 
Version  2.7 
Package repository  View on CRAN 
Installation 
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