Package index • survML

All functions

DR_pseudo_outcome_regression(): Doubly-robust pseudo-outcome regression

aggregate_vim(): Aggregate multiseed VIM results

boost_c_index(): Gradient boosting for C-index

crossfit_oracle_preds(): Generate cross-fitted oracle prediction function estimates

crossfit_surv_preds(): Generate cross-fitted conditional survival predictions

currstatCIR(): Estimate a survival function under current status sampling

generate_folds(): Generate cross-fitting and sample-splitting folds

generate_nuisance_predictions_stackG(): Estimate conditional survival function nuisance parameters using survival stacking

generate_oracle_predictions_DR(): Estimate full oracle prediction function using DR pseudo-outcome regression

generate_oracle_predictions_SL(): Estimate small oracle prediction function using Super Learner regression

generate_oracle_predictions_boost(): Estimate oracle prediction function using DR gradient boosting

multiseed_vim(): Estimate variable importance with multiple seeds

predict(<stackG>): Obtain predicted conditional survival and cumulative hazard functions from a global survival stacking object

predict(<stackL>): Obtain predicted conditional survival function from a local survival stacking object

stackG(): Estimate a conditional survival function using global survival stacking

stackL(): Estimate a conditional survival function via local survival stacking

vim(): Estimate variable importance

vim_AUC(): Estimate AUC VIM

vim_accuracy(): Estimate classification accuracy VIM

vim_brier(): Estimate Brier score VIM

vim_cindex(): Estimate concordance index VIM

vim_rsquared(): Estimate R-squared (proportion of explained variance) VIM based on event occurrence by a landmark time

vim_survival_time_mse(): Estimate restricted predicted survival time MSE VIM