Man pages for survdnn
Deep Neural Networks for Survival Analysis Using 'torch'
| brier | Brier Score for Right-Censored Survival Data at a Fixed Time |
| build_dnn | Build a Deep Neural Network for Survival Analysis |
| cindex_survmat | Concordance Index from a Survival Probability Matrix |
| cv_survdnn | K-Fold Cross-Validation for survdnn Models |
| evaluate_survdnn | Evaluate a survdnn Model Using Survival Metrics |
| gridsearch_survdnn | Grid Search for survdnn Hyperparameters |
| ibs_survmat | Integrated Brier Score (IBS) from a Survival Probability... |
| plot.survdnn | Plot survdnn Survival Curves using ggplot2 |
| predict.survdnn | Predict from a survdnn Model |
| print.survdnn | Print a survdnn Model |
| summarize_cv_survdnn | Summarize Cross-Validation Results from survdnn |
| summarize_tune_survdnn | Summarize survdnn Tuning Results |
| summary.survdnn | Summarize a Deep Survival Neural Network Model |
| survdnn | Fit a Deep Neural Network for Survival Analysis |
| survdnn_losses | Loss Functions for survdnn Models |
| tune_survdnn | Tune Hyperparameters for a survdnn Model via Cross-Validation |
