Deep Neural Networks for Survival Analysis Using 'torch'

Documentation for package ‘survdnn’ version 0.6.0

brier	Brier Score for Right-Censored Survival Data at a Fixed Time
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
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