Man pages for benkeser/predtmle
Small sample estimators of cross-validated prediction metrics
| 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' |
