Cross-validated TML estimates of cross-validated area under the receiver operating characteristic curve

cvauc_cvtmle | Compute CVTML estimates of cross-validated AUC |

cvtn_cvtmle | Compute CVTML estimates of cross-validated AUC |

dot-Dy | Compute a portion of the efficient influence function |

dot-estimatingFn | An estimating function for cvAUC |

dot-estimatingFnNestedCV | An estimating function for cvAUC with cv initial estimates |

dot-getAUC | Compute the AUC given the cdf and pdf of psi |

dot-getPredictions | Worker function for fitting prediction functions (possibly in... |

dot-getPsiDistribution | Compute the conditional (given Y = y) estimated distribution... |

dot-getPsiDistributionNestedCV | Compute the conditional (given Y = y) CV-estimated... |

dot-makeLongData | Worker function to make long form data set needed for CVTMLE... |

dot-makeLongDataNestedCV | Worker function to make long form data set needed for CVTMLE... |

fluc_mod_optim_0 | Alternative fluctuation routine |

fluc_mod_optim_1 | Alternative fluctuation routine |

F_nBn_star | Compute the (CV)TMLE cumulative dist at psi_x |

glmnet_wrapper | Wrapper for fitting lasso |

glm_wrapper | Wrapper for fitting a main terms GLM |

leave_pair_out_auc | Function to do leave pair out AUC computation |

polymars_wrapper | Wrapper for fitting polymars |

print.cvauc | Print results of cvauc_cvtmle |

randomforest_wrapper | Wrapper for fitting a main terms random forest |

ranger_wrapper | Wrapper for fitting a main terms random forest |

stepglm_wrapper | Wrapper for fitting a main terms GLM |

superlearner_wrapper | Wrapper for fitting a main terms random forest |

svm_wrapper | Wrapper for fitting svm |

xgboost_wrapper | Wrapper for fitting xgboost |

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