Man pages for benkeser/cvma
Cross-validation-based maximal association

ci.cvAUC_withICci.cvAUC_withIC
compare_control_diffcompare_control for taking a difference in cross-validated...
compare_control_logratiocompare_control for taking a ratio of cross-validated maximal...
compare_control_ratiocompare_control for taking a ratio of cross-validated maximal...
compare_cvmaCompare measures of association between two fits
cvmaCross-validated maximal association measures
cv_risk_sl_aucCross-validated area under the receiver operating...
cv_risk_sl_nloglikCross-validated negative log-likelihood of the super learner
cv_risk_sl_r2Cross-validated non-parametric R-squared of the super learner
cv_risk_y_aucCross-validated area under the receiver operating...
cv_risk_y_nloglikCross-validated negative log-likelihood for evaluating...
cv_risk_y_r2Cross-validated nonparametric R-squared for evaluating...
ensemble_linearCompute a linear ensemble of predictions
ensemble_logit_linearCompute a logit-linear ensemble of predictions
get_fitFit a learner on training folds and get predictions on...
get_fold_outHelper function to format the validation folds used in some...
get_fold_vectorHelper function to get a vector of fold assignments...
get_formatted_slGet a super learner fit for a given outcome with more...
get_learner_pred_outHelper function to get super learner predictions formatted...
get_pred_outHelper function to get learner prediction matrices formatted...
get_riskGet cross-validated risk of entire procedure (i.e.,...
get_risk_inputCreate input list for 'get_risk'
get_risk_learnerGet cross-validated risk of the super learner for a...
get_risk_learner_inputCreate input list for 'get_risk_learner'
get_risk_slGet cross-validated risk of the super learner for a...
get_risk_sl_inputCreate input list for 'get_risk_sl'
get_slGet super learner weights based on cross-validated learner...
get_sl_inputCreate input list for 'get_sl'
get_sl_pred_outHelper function to get super learner predictions formatted...
get_valid_pred_from_fitHelper function to get validation fold predictions. Each...
get_valid_yHelper function to get validation fold outcomes.
get_Y_outHelper function to get outcomes in proper format needed for...
get_y_weightGet outcome weights based on cross-validated super learner...
get_y_weight_inputCreate input list for 'get_y_weight'
list_control_optionsList all control options in the 'cvma' package.
make_fit_task_listHelper function to make a task list for computing learner...
make_outer_learner_task_listHelper function to make a task list for computing cv risks of...
make_outer_sl_task_listHelper function to make a task list for computing the outer...
make_sl_task_listHelper function to make a task list for computing super...
make_y_weight_task_listHelper function to make a task list for computing outcome...
optim_risk_sl_aucCross-validated area under receiver operating characteristic...
optim_risk_sl_nloglikCross-validated negative log-likelihood for computing super...
optim_risk_sl_seCross-validated mean squared-error for computing super...
optim_risk_y_aucCross-validated area under the receiver operating...
optim_risk_y_nloglikCross-validated area under the receiver operating...
optim_risk_y_r2Cross-validated non-parametric R-squared for computing...
predict.cvmaGet predictions on cvma object
print.cvmaPrint the output of 'cvma'. Only prints the cross-validated...
reweight_cvmaChanging options for super learner and outcome weighting...
search_fits_all_yHelper function to search fits for particular training_folds.
search_fits_for_learnerHelper function to search fits for particular outcomes (or...
search_fits_for_training_foldsHelper function to search fits for particular outcomes (or...
search_fits_one_learnerHelper function to search fits for particular outcomes and...
search_fits_one_yHelper function to search fits for particular outcomes and...
summary.cvmaSummarize results of 'cvma' fit. Can be used to summarize the...
trim_pHelper function to trim a prediction
trim_qlogisHelper function to compute a trimmed logit
weight_sl_010/1 weights for super learner (i.e., discrete super learner)
weight_sl_convexConvex ensemble weights for super learner
weight_y_01Find single outcome with best risk
weight_y_convexCompute optimized convex weights for outcomes
benkeser/cvma documentation built on Oct. 8, 2018, 7 a.m.