BART-package            Bayesian Additive Regression Trees (BART)
                        provide flexible nonparametric modeling of
                        covariates for continuous, binary and
                        time-to-event outcomes.
bladder                 Bladder Cancer Recurrences
crisk.bart              BART for competing risks
crisk.pre.bart          Data construction for competing risks with BART
lung                    NCCTG Lung Cancer Data
mc.crisk.pwbart         Predicting new observations with a previously
                        fitted BART model
mc.pbart                BART for dichotomous outcomes with parallel
                        computation
mc.surv.pwbart          Predicting new observations with a previously
                        fitted BART model
mc.wbart                BART for continuous outcomes with parallel
                        computation
mc.wbart.gse            Global SE variable selection for BART with
                        parallel computation
pbart                   BART for dichotomous outcomes
pwbart                  Predicting new observations with a previously
                        fitted BART model
recur.bart              BART for recurrent events
recur.pre.bart          Data construction for recurrent events with
                        BART
surv.bart               Survival analysis with BART
surv.pre.bart           Data construction for survival analysis with
                        BART
transplant              Liver transplant waiting list
wbart                   BART for continuous outcomes
xdm20.test              A data set used in example of 'recur.bart'.
xdm20.train             A real data example for 'recur.bart'.
ydm20.train             A data set used in example of 'recur.bart'.
