NEWS.md

In survdnn: Deep Neural Networks for Survival Analysis Using 'torch'

survdnn 0.6.0

First public release of survdnn (Deep Neural Networks for Survival Analysis in R using torch).

Features

• survdnn(): Fit deep learning survival models using a formula interface
• Supported loss functions: Cox partial likelihood ("cox"), L2-penalized Cox ("cox_l2"); Time-dependent Cox ("coxtime"), and Accelerated Failure Time ("aft")
• Cross-validation with cv_survdnn()
• Hyperparameter tuning with tune_survdnn()
• Survival probability prediction and curve plotting
• Evaluation metrics: C-index, Brier score, Integrated Brier Score (IBS)

CRAN submission prepared. README, documentation, and tests included.

survdnn documentation built on Aug. 8, 2025, 6:05 p.m.