# Vignettes and other documentation

## Vignettes from package 'SuperSurv'

SuperSurv::base-learner-rfsrc |  | 06. Machine Learning with Random Survival Forests | HTML | source | R code
SuperSurv::causal-rmst |  | 09. Causal Effects and Adjusted Marginal Contrasts (RMST) | HTML | source | R code
SuperSurv::extending-supersurv |  | 11. Extending SuperSurv | HTML | source | R code
SuperSurv::grid-search |  | 05. Advanced Hyperparameter Tuning & Grid Search | HTML | source | R code
SuperSurv::installation |  | 00. Installation & Setup | HTML | source | R code
SuperSurv::model-performance |  | 02. Model Performance & Benchmarking | HTML | source | R code
SuperSurv::parametric-models |  | 07. Parametric Survival Models | HTML | source | R code
SuperSurv::scaleup-parallel |  | 10. Scaling Up with Parallel Processing | HTML | source | R code
SuperSurv::screening-methods |  | 04. High-Dimensional Data & Variable Screening | HTML | source | R code
SuperSurv::shap-explanations |  | 08. Interpreting the Black Box with SHAP & survex | HTML | source | R code
SuperSurv::supersurv-best |  | 03. Ensemble vs. Best Model Selection | HTML | source | R code
SuperSurv::supersurv-ensemble |  | 01. SuperSurv with Ensemble | HTML | source | R code