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BART

swMATH ID: 32161
Software Authors: Robert McCulloch, Rodney Sparapani, Robert Gramacy, Charles Spanbauer, Matthew Pratola, Martyn Plummer, Nicky Best, Kate Cowles, Karen Vines
Description: R package 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>.
Homepage: https://cran.r-project.org/web/packages/BART/index.html
Source Code:  https://github.com/cran/BART
Dependencies: R
Keywords: R; R package; binary trees; black-box; categorical; competing risks; continuous; ensemble predictive model; forking; multinomial; multi-threading; OpenMP; recurrent events; survival analysis
Related Software: R; BartPy; dbarts; ranger; AGS; rbugs; DPWeibull; spBayesSurv; DPpackage; Stan; OpenBUGS; JAGS; BUGS; LearnBayes; R2WinBUGS; WinBUGS; pre; causalToolbox; gbm; igraph
Cited in: 6 Publications

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