adult | adult |
bank | bank |
boot_auc | Compute the bootstrap-corrected estimator of AUC. |
boot_scrnp | Compute the bootstrap-corrected estimator of SCRNP. |
cardio | Cardiotocography |
ci.cvAUC_withIC | ci.cvAUC_withIC |
cv_auc | Cross-validated area under the receiver operating... |
cv_scrnp | Compute CVTML estimates of cross-validated AUC |
dbarts_wrapper | Wrapper for fitting Bayesian additive regression trees (BART)... |
default | default |
dot-Dy | Compute one of the terms of the efficient influence function |
dot-estimatingFn | An estimating function for cvAUC |
dot-estimatingFnNestedCV | An estimating function for cvAUC with initial estimates... |
dot-getAUC | Compute the AUC given the cdf and pdf of psi |
dot-getCVEstimator | Helper function to turn prediction_list into CV estimate of... |
dot-getDensity | Function to estimate density needed to evaluate standard... |
dot-getNestedCVQuantile | Helper function to get quantile for a single training fold... |
dot-getOneFold | Helper function to get results for a single cross-validation... |
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-getQuantile | Helper function to get quantile for a single training fold... |
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... |
dot-makeTargetingData | Helper function for making data set in proper format for... |
dot-process_input | Unexported function from cvAUC package |
drugs | drugs |
fluc_mod_optim_0 | Helper function for CVTMLE grid search |
fluc_mod_optim_1 | Helper function for CVTMLE grid search |
F_nBn_star | Compute the targeted conditional cumulative distribution of... |
F_nBn_star_nested_cv | Compute the targeted conditional cumulative distribution of... |
glmnet_wrapper | Wrapper for fitting a lasso using package 'glmnet'. |
glm_wrapper | Wrapper for fitting a logistic regression using 'glm'. |
lpo_auc | Compute the leave-pair-out cross-validation estimator of AUC. |
magic | magic |
print.cvauc | Print results of cv_auc |
print.scrnp | Print results of cv_scrnp |
randomforest_wrapper | Wrapper for fitting a random forest using randomForest. |
ranger_wrapper | Wrapper for fitting a random forest using ranger. |
stepglm_wrapper | Wrapper for fitting a forward stepwise logistic regression... |
superlearner_wrapper | Wrapper for fitting a super learner based on 'SuperLearner'. |
wine | wine |
xgboost_wrapper | Wrapper for fitting eXtreme gradient boosting via 'xgboost' |
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