Package: BART
Type: Package
Title: Bayesian Additive Regression Trees
Version: 1.6
Date: 2018-03-19
Authors@R: c(person('Robert', 'McCulloch', role='aut'),
  person('Rodney', 'Sparapani', role=c('aut', 'cre'), email='rsparapa@mcw.edu'),
  person('Robert', 'Gramacy', role='aut'),
  person('Charles', 'Spanbauer', role='aut'),
  person('Matthew', 'Pratola', role='aut'),
  person('Jean-Sebastien', 'Roy', role='ctb'),
  person('Makoto', 'Matsumoto', role='ctb'),
  person('Takuji', 'Nishimura', role='ctb'),
  person('Bill', 'Venables', role='ctb'),
  person('Brian', 'Ripley', role='ctb'))
Description: 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) <doi:10.1214/09-AOAS285> and Sparapani, Logan, McCulloch and Laud (2016) <doi:10.1002/sim.6893>. 
License: GPL (>= 2)
Depends: R (>= 2.10), survival
Imports: Rcpp (>= 0.12.3), parallel, tools
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, sbart, MASS
VignetteBuilder: knitr
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2018-03-20 13:58:57 UTC; rsparapa
Author: 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]
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>
Repository: CRAN
Date/Publication: 2018-03-20 22:25:49 UTC
Built: R 3.3.3; x86_64-w64-mingw32; 2018-04-22 16:13:57 UTC; windows
Archs: i386, x64
