# Vignettes and other documentation

## Vignettes from package 'SuperSurv'

SuperSurv::base-learner-rfsrc |  | 6. Machine Learning with Random Survival Forests | HTML | source | R code
SuperSurv::causal-rmst |  | 9. Causal Effects and Adjusted Marginal Contrasts (RMST) | HTML | source | R code
SuperSurv::grid-search |  | 5. Advanced Hyperparameter Tuning & Grid Search | HTML | source | R code
SuperSurv::installation |  | 0. Installation & Setup | HTML | source | R code
SuperSurv::model-performance |  | 2. Model Performance & Benchmarking | HTML | source | R code
SuperSurv::parametric-models |  | 7. Parametric Survival Models | HTML | source | R code
SuperSurv::scaleup-parallel |  | 10. Scaling Up with Parallel Processing | HTML | source | R code
SuperSurv::screening-methods |  | 4. High-Dimensional Data & Variable Screening | HTML | source | R code
SuperSurv::shap-explanations |  | 8. Interpreting the Black Box with SHAP & survex | HTML | source | R code
SuperSurv::supersurv-best |  | 3. Ensemble vs. Best Model Selection | HTML | source | R code
SuperSurv::supersurv-ensemble |  | 1. SuperSurv with Ensemble | HTML | source | R code