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First release of survdnn (v0.6.0)

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@ielbadisy ielbadisy released this 17 Jul 17:40
· 97 commits to main since this release
v0.6.0
955dcf7

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.

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