Tools for Flexible Survival Analysis Using Machine Learning

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Documentation for package ‘survML’ version 1.2.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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
DR_pseudo_outcome_regression	Generate oracle prediction function estimates using doubly-robust pseudo-outcome regression with SuperLearner
generate_folds	Generate cross-fitting and sample-splitting folds
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 AUC VIM
vim_accuracy	Estimate classification accuracy VIM
vim_AUC	Estimate AUC 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