DESCRIPTION

Package: BART
Type: Package
Title: Bayesian Additive Regression Trees
Version: 2.2
Date: 2019-1-22
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'))
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) <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, nnet, nlme
Imports: Rcpp (>= 0.12.3), parallel, tools
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, sbart, MASS
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2019-01-23 01:35:00 UTC; rsparapa
Author: Robert McCulloch [aut],
  Rodney Sparapani [aut, cre],
  Robert Gramacy [aut],
  Charles Spanbauer [aut],
  Matthew Pratola [aut]
Maintainer: Rodney Sparapani <rsparapa@mcw.edu>
Repository: CRAN
Date/Publication: 2019-01-23 08:20:03 UTC