magrittr, dplyr, data.table, downloader, sf, XML, httr, rgdal,
janitor, rio, jsonlite, stringr, utils, memoise, stringi,
shiny, miniUI, rstudioapi, checkmate, glue

Robert McCulloch <robert.e.mcculloch@gmail.com> and Rodney Sparapani <rsparapa@mcw.edu>
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>.

c(person('Robert', 'McCulloch', role='aut'),
person('Rodney', 'Sparapani', role=c('aut', 'cre'), email='rsparapa@mcw.edu'),
person('Robert', 'Gramacy', role='aut'),
person('Matthew', 'Pratola', role='aut'),
person('Jean-Sebastien', 'Roy', role='ctb'),
person('Makoto', 'Matsumoto', role='ctb'),
person('Takuji', 'Nishimura', role='ctb'))
Robert McCulloch [aut],
Rodney Sparapani [aut, cre],
Robert Gramacy [aut],
Matthew Pratola [aut],
Jean-Sebastien Roy [ctb],
Makoto Matsumoto [ctb],
Takuji Nishimura [ctb]

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'))
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]

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('Bill', 'Venables', role='ctb'),
person('Brian', 'Ripley', role='ctb'))
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>.
Robert McCulloch [aut],
Rodney Sparapani [aut, cre],
Robert Gramacy [aut],
Charles Spanbauer [aut],
Matthew Pratola [aut],
Bill Venables [ctb],
Brian Ripley [ctb]