BART: Bayesian Additive Regression Trees

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

Package details

AuthorRobert McCulloch [aut], Rodney Sparapani [aut, cre], Robert Gramacy [aut], Charles Spanbauer [aut], Matthew Pratola [aut], Bill Venables [ctb], Brian Ripley [ctb]
MaintainerRodney Sparapani <[email protected]>
LicenseGPL (>= 2)
Version2.1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BART")

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BART documentation built on Dec. 1, 2018, 1:04 a.m.