BART (2.7)

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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) and Sparapani, Logan, McCulloch and Laud (2016) .

Maintainer: Rodney Sparapani
Author(s): 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]

License: GPL (>= 2)

Uses: nlme, nnet, Rcpp, survival, MASS, knitr, rmarkdown
Reverse suggests: MachineShop, StratifiedMedicine

Released about 1 month ago.

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