Cross-validation-based maximal association

ci.cvAUC_withIC | ci.cvAUC_withIC |

compare_control_diff | compare_control for taking a difference in cross-validated... |

compare_control_logratio | compare_control for taking a ratio of cross-validated maximal... |

compare_control_ratio | compare_control for taking a ratio of cross-validated maximal... |

compare_cvma | Compare measures of association between two fits |

cvma | Cross-validated maximal association measures |

cv_risk_sl_auc | Cross-validated area under the receiver operating... |

cv_risk_sl_nloglik | Cross-validated negative log-likelihood of the super learner |

cv_risk_sl_r2 | Cross-validated non-parametric R-squared of the super learner |

cv_risk_y_auc | Cross-validated area under the receiver operating... |

cv_risk_y_nloglik | Cross-validated negative log-likelihood for evaluating... |

cv_risk_y_r2 | Cross-validated nonparametric R-squared for evaluating... |

ensemble_linear | Compute a linear ensemble of predictions |

ensemble_logit_linear | Compute a logit-linear ensemble of predictions |

get_fit | Fit a learner on training folds and get predictions on... |

get_fold_out | Helper function to format the validation folds used in some... |

get_fold_vector | Helper function to get a vector of fold assignments... |

get_formatted_sl | Get a super learner fit for a given outcome with more... |

get_learner_pred_out | Helper function to get super learner predictions formatted... |

get_pred_out | Helper function to get learner prediction matrices formatted... |

get_risk | Get cross-validated risk of entire procedure (i.e.,... |

get_risk_input | Create input list for 'get_risk' |

get_risk_learner | Get cross-validated risk of the super learner for a... |

get_risk_learner_input | Create input list for 'get_risk_learner' |

get_risk_sl | Get cross-validated risk of the super learner for a... |

get_risk_sl_input | Create input list for 'get_risk_sl' |

get_sl | Get super learner weights based on cross-validated learner... |

get_sl_input | Create input list for 'get_sl' |

get_sl_pred_out | Helper function to get super learner predictions formatted... |

get_valid_pred_from_fit | Helper function to get validation fold predictions. Each... |

get_valid_y | Helper function to get validation fold outcomes. |

get_Y_out | Helper function to get outcomes in proper format needed for... |

get_y_weight | Get outcome weights based on cross-validated super learner... |

get_y_weight_input | Create input list for 'get_y_weight' |

list_control_options | List all control options in the 'cvma' package. |

make_fit_task_list | Helper function to make a task list for computing learner... |

make_outer_learner_task_list | Helper function to make a task list for computing cv risks of... |

make_outer_sl_task_list | Helper function to make a task list for computing the outer... |

make_sl_task_list | Helper function to make a task list for computing super... |

make_y_weight_task_list | Helper function to make a task list for computing outcome... |

optim_risk_sl_auc | Cross-validated area under receiver operating characteristic... |

optim_risk_sl_nloglik | Cross-validated negative log-likelihood for computing super... |

optim_risk_sl_se | Cross-validated mean squared-error for computing super... |

optim_risk_y_auc | Cross-validated area under the receiver operating... |

optim_risk_y_nloglik | Cross-validated area under the receiver operating... |

optim_risk_y_r2 | Cross-validated non-parametric R-squared for computing... |

predict.cvma | Get predictions on cvma object |

print.cvma | Print the output of 'cvma'. Only prints the cross-validated... |

reweight_cvma | Changing options for super learner and outcome weighting... |

search_fits_all_y | Helper function to search fits for particular training_folds. |

search_fits_for_learner | Helper function to search fits for particular outcomes (or... |

search_fits_for_training_folds | Helper function to search fits for particular outcomes (or... |

search_fits_one_learner | Helper function to search fits for particular outcomes and... |

search_fits_one_y | Helper function to search fits for particular outcomes and... |

summary.cvma | Summarize results of 'cvma' fit. Can be used to summarize the... |

trim_p | Helper function to trim a prediction |

trim_qlogis | Helper function to compute a trimmed logit |

weight_sl_01 | 0/1 weights for super learner (i.e., discrete super learner) |

weight_sl_convex | Convex ensemble weights for super learner |

weight_y_01 | Find single outcome with best risk |

weight_y_convex | Compute optimized convex weights for outcomes |

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