Bayesian Additive Regression Trees

abart | AFT BART for time-to-event outcomes |

ACTG175 | AIDS Clinical Trials Group Study 175 |

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 | BART for dichotomous outcomes with Logistic latents |

lung | NCCTG Lung Cancer Data |

mbart | BART for multinomial outcomes with Normal latents |

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 | BART for dichotomous outcomes with Logistic latents and... |

mc.mbart | BART for categorical outcomes with Normal latents and... |

mc.pbart | BART for dichotomous outcomes with parallel computation |

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 | 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... |

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'. |

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