Vignettes and other documentation
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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 |