BART (1.4)

Bayesian Additive Regression Trees.

Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary 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], Jean-Sebastien Roy [ctb], Makoto Matsumoto [ctb], Takuji Nishimura [ctb], Bill Venables [ctb], Brian Ripley [ctb]

License: GPL (>= 2)

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

Released almost 2 years ago.