survdnn
Deep Neural Networks for Survival Analysis with R 'torch'
Provides deep learning models for right-censored survival data using the 'torch' backend. Supports multiple loss functions, including Cox partial likelihood, L2-penalized Cox, time-dependent Cox, and accelerated failure time (AFT) loss. Offers a formula-based interface, built-in support for cross-validation, hyperparameter tuning, survival curve plotting, and evaluation metrics such as the C-index, Brier score, and integrated Brier score. For methodological details, see Kvamme et al. (2019) <https://www.jmlr.org/papers/v20/18-424.html>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.7.5 |
rolling linux/jammy R-4.5 | survdnn_0.7.5.tar.gz |
127.1 KiB |
0.7.5 |
rolling linux/noble R-4.5 | survdnn_0.7.5.tar.gz |
127.1 KiB |
0.7.5 |
rolling source/ R- | survdnn_0.7.5.tar.gz |
38.5 KiB |
0.7.5 |
latest linux/jammy R-4.5 | survdnn_0.7.5.tar.gz |
127.1 KiB |
0.7.5 |
latest linux/noble R-4.5 | survdnn_0.7.5.tar.gz |
127.1 KiB |
0.7.5 |
latest source/ R- | survdnn_0.7.5.tar.gz |
38.5 KiB |
0.7.5 |
2026-04-26 source/ R- | survdnn_0.7.5.tar.gz |
38.5 KiB |
0.7.5 |
2026-04-23 source/ R- | survdnn_0.7.5.tar.gz |
38.5 KiB |
0.7.5 |
2026-04-09 windows/windows R-4.5 | survdnn_0.7.5.zip |
129.6 KiB |