| abart | AFT BART for time-to-event outcomes |
| ACTG175 | AIDS Clinical Trials Group Study 175 |
| alligator | American alligator Food Choice |
| arq | NHANES 2009-2010 Arthritis Questionnaire |
| bartModelMatrix | Create a matrix out of a vector or data.frame |
| BART-package | Bayesian Additive Regression Trees |
| bladder | Bladder Cancer Recurrences |
| class.ind | Generates Class Indicator Matrix from a Factor |
| crisk2.bart | BART for competing risks |
| crisk.bart | BART for competing risks |
| crisk.pre.bart | Data construction for competing risks with BART |
| draw_lambda_i | Testing truncated Normal sampling |
| gbart | Generalized BART for continuous and binary outcomes |
| gewekediag | Geweke's convergence diagnostic |
| lbart | Logit BART for dichotomous outcomes with Logistic latents |
| leukemia | Bone marrow transplantation for leukemia and multi-state... |
| lung | NCCTG Lung Cancer Data |
| mbart | Multinomial BART for categorical outcomes with fewer... |
| mbart2 | Multinomial BART for categorical outcomes with more... |
| mc.cores.openmp | Detecting OpenMP |
| mc.crisk2.pwbart | Predicting new observations with a previously fitted BART... |
| mc.crisk.pwbart | Predicting new observations with a previously fitted BART... |
| mc.lbart | Logit BART for dichotomous outcomes with Logistic latents and... |
| mc.pbart | Probit BART for dichotomous outcomes with Normal latents and... |
| mc.surv.pwbart | Predicting new observations with a previously fitted BART... |
| mc.wbart | BART for continuous outcomes with parallel computation |
| mc.wbart.gse | Global SE variable selection for BART with parallel... |
| pbart | Probit BART for dichotomous outcomes with Normal latents |
| predict.crisk2bart | Predicting new observations with a previously fitted BART... |
| predict.criskbart | Predicting new observations with a previously fitted BART... |
| predict.lbart | Predicting new observations with a previously fitted BART... |
| predict.mbart | Predicting new observations with a previously fitted BART... |
| predict.pbart | Predicting new observations with a previously fitted BART... |
| predict.recurbart | Predicting new observations with a previously fitted BART... |
| predict.survbart | Predicting new observations with a previously fitted BART... |
| predict.wbart | Predicting new observations with a previously fitted BART... |
| pwbart | Predicting new observations with a previously fitted BART... |
| recur.bart | BART for recurrent events |
| recur.pre.bart | Data construction for recurrent events with BART |
| rs.pbart | BART for dichotomous outcomes with parallel computation and... |
| rtgamma | Testing truncated Gamma sampling |
| rtnorm | Testing truncated Normal sampling |
| spectrum0ar | Estimate spectral density at zero |
| srstepwise | Stepwise Variable Selection Procedure for survreg |
| stratrs | Perform stratified random sampling to balance outcomes |
| 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'. |
