A Unified Framework for Machine Learning Ensembles in Survival Analysis

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Documentation for package ‘SuperSurv’ version 0.1.2

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

Help Pages

censor_weights	Access SuperSurv ensemble weights
censor_weights.SuperSurv	Access SuperSurv ensemble weights
coef.SuperSurv	Extract SuperSurv ensemble coefficients
estimate_marginal_rmst	Estimate an Adjusted Marginal RMST Contrast
eval_brier	IPCW Brier Score and Integrated Brier Score (IBS)
eval_cindex	Calculate Concordance Index (Harrell's or Uno's)
eval_summary	Evaluate SuperSurv predictions on test data
eval_timeROC	Time-Dependent AUC and Integrated AUC
eval_times	Access SuperSurv prediction evaluation times
eval_times.SuperSurv	Access SuperSurv prediction evaluation times
event_weights	Access SuperSurv ensemble weights
event_weights.SuperSurv	Access SuperSurv ensemble weights
explain_kernel	Explain Predictions with Global SHAP (Kernel SHAP)
explain_survex	Create a Time-Dependent Survex Explainer
learner_names	Access SuperSurv learner names
learner_names.SuperSurv	Access SuperSurv learner names
list_wrappers	List Available Wrappers and Screeners in SuperSurv
metabric	METABRIC Breast Cancer Dataset
plot_beeswarm	Beeswarm Summary Plot for SuperSurv SHAP
plot_benchmark	Plot Longitudinal Benchmark Metrics
plot_calibration	Plot Survival Calibration Curve
plot_dependence	Plot SHAP Dependence for SuperSurv
plot_global_importance	Plot Global Feature Importance for SuperSurv
plot_marginal_rmst_curve	Plot Adjusted Marginal RMST Contrast Over Time
plot_patient_waterfall	Waterfall Plot for an Individual Patient
plot_predict	Plot Predicted Survival Curves
plot_rmst_vs_obs	Plot Predicted RMST vs. Observed Survival Times
plot_survival_heatmap	Survival Probability Heatmap
predict.SuperSurv	Predict method for SuperSurv fits
print.summary.SuperSurv	Summarize a SuperSurv fit
print.SuperSurv	Print a SuperSurv fit
screen.all	Keep All Variables Screener
screen.elasticnet	Elastic Net Screening Algorithm
screen.glmnet	GLMNET (Lasso) Screening
screen.marg	Marginal Cox Regression Screening
screen.rfsrc	Random Survival Forest Screening Algorithm
screen.var	High Variance Screening Algorithm (Unsupervised)
selected_variables	Access variables selected by SuperSurv screeners
selected_variables.SuperSurv	Access variables selected by SuperSurv screeners
summary.SuperSurv	Summarize a SuperSurv fit
SuperSurv	Super Learner for conditional survival functions
surv.aorsf	Wrapper for AORSF (Oblique Random Survival Forest)
surv.bart	Wrapper for BART (Bayesian Additive Regression Trees)
surv.coxboost	Wrapper function for Component-Wise Boosting (CoxBoost)
surv.coxph	Wrapper for standard Cox Proportional Hazards
surv.exponential	Parametric Survival Prediction Wrapper (Exponential)
surv.gam	Wrapper for Generalized Additive Cox Regression (GAM)
surv.gbm	Wrapper function for Gradient Boosting (GBM) prediction algorithm
surv.glmnet	Wrapper function for Penalized Cox Regression (GLMNET)
surv.km	Kaplan-Meier Prediction Algorithm
surv.loglogistic	Parametric Survival Prediction Wrapper (Log-Logistic)
surv.lognormal	Parametric Survival Prediction Wrapper (Log-Normal)
surv.parametric	Universal Parametric Survival Wrapper
surv.ranger	Wrapper function for Ranger Random Survival Forest
surv.rfsrc	Wrapper function for Random Survival Forests (RFSRC)
surv.ridge	Wrapper for Ridge Regression (Penalized Cox)
surv.rpart	Wrapper for Survival Regression Trees (rpart)
surv.svm	Wrapper for Survival Support Vector Machine (survivalsvm)
surv.weibull	Parametric Survival Prediction Wrapper (Weibull)
surv.xgboost	Wrapper for XGBoost (Robust CV-Tuned + Safe Prediction)
training_variables	Access SuperSurv training variable names
training_variables.SuperSurv	Access SuperSurv training variable names