R: Deep Neural Networks for Survival Analysis with R 'torch'

# Deep Neural Networks for Survival Analysis with R 'torch'

## Documentation for package ‘survdnn’ version 0.7.6

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

brier | Brier Score for Right-Censored Survival Data at a Fixed Time
callback_early_stopping | Early stopping callback for survdnn
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 Matrix
plot.survdnn | Plot survdnn Survival Curves using ggplot2
plot_loss | Plot Training Loss for a survdnn Model
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
tune_survdnn | Tune Hyperparameters for a survdnn Model via Cross-Validation