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>.

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Description file content

Package
BART
Type
Package
Title
Bayesian Additive Regression Trees
Version
2.4
Date
2019-03-28
Description
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) .
License
GPL (>= 2)
Depends
R (>= 2.10), nlme, nnet, survival
Imports
Rcpp (>= 0.12.3), parallel, tools
LinkingTo
Rcpp
Suggests
MASS, knitr, rmarkdown, sbart
VignetteBuilder
knitr
NeedsCompilation
yes
Packaged
2019-04-16 14:27:25 UTC; rsparapa
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
Repository
CRAN
Date/Publication
2019-04-16 16:35:57 UTC

install.packages('BART')

2.4

a month ago

Rodney Sparapani

GPL (>= 2)

Depends on

R (>= 2.10), nlme, nnet, survival

Imports

Rcpp (>= 0.12.3), parallel, tools

Suggests

MASS, knitr, rmarkdown, sbart

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