Deep Neural Networks for Survival Analysis with R 'torch' R package survdnn version 0.7.6 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>. Software Depends: R (>= 4.1.0) Imports: torch, survival, stats, utils, tibble, dplyr, purrr, tidyr, ggplot2, methods, rsample, cli, glue Suggests: testthat (>= 3.0.0), knitr, rmarkdown Imad EL BADISY <elbadisyimad@gmail.com> Comprehensive R Archive Network (CRAN) Imad EL BADISY [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=survdnn/LICENSE) 2026-04-29 application/tgz https://CRAN.R-project.org/package=survdnn doi:10.32614/CRAN.package.survdnn