DESCRIPTION

Package: BART
Type: Package
Title: Bayesian Additive Regression Trees
Version: 2.9.10
Date: 2026-01-24
Authors@R: c(person('Robert', 'McCulloch', role='aut'),
  person('Rodney', 'Sparapani', role=c('aut', 'cre'), 
  email='rsparapa@mcw.edu'),
  person('Robert', 'Gramacy', role='ctb'),
  person('Matthew', 'Pratola', role='ctb'),
  person('Charles', 'Spanbauer', role='ctb'),
  person('Martyn', 'Plummer', role='ctb'), 
  person('Nicky', 'Best', role='ctb'),
  person('Kate', 'Cowles', role='ctb'), 
  person('Karen', 'Vines', role='ctb'))
Author: Robert McCulloch [aut],
  Rodney Sparapani [aut, cre],
  Robert Gramacy [ctb],
  Matthew Pratola [ctb],
  Charles Spanbauer [ctb],
  Martyn Plummer [ctb],
  Nicky Best [ctb],
  Kate Cowles [ctb],
  Karen Vines [ctb]
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>
Description: Bayesian Additive Regression Trees (BART) provide flexible nonparametric modeling of covariates for continuous, binary, categorical and time-to-event outcomes.  For more information see Sparapani, Spanbauer and McCulloch <doi:10.18637/jss.v097.i01>.
License: GPL (>= 2)
Depends: R (>= 3.6), nlme, survival
Imports: Rcpp (>= 0.12.3), parallel, tools
LinkingTo: Rcpp
Suggests: MASS, knitr, rmarkdown, rpart, rpart.plot
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2026-01-24 16:40:52 UTC; rsparapa
Repository: CRAN
Date/Publication: 2026-01-24 17:20:02 UTC