survdnn 0.6.3

survdnn 0.6.2

Maintenance release (CRAN compliance)

• Removed automatic torch::install_torch() on load:
  The package no longer downloads or installs Torch libraries automatically when loaded.
  The .onLoad() function now performs only a silent availability check, and .onAttach()
  displays an informative message instructing users to manually run
  torch::install_torch() when necessary.
  This update ensures full compliance with CRAN policies that forbid modification of user environments
  or network activity during package load.

• Updated startup message for clearer user guidance.

• Internal documentation and version bump for CRAN resubmission.

survdnn 0.6.1

Infrastructure and testing improvements

• Added conditional test skipping: tests and examples now use
  skip_if_not(torch_is_installed()) and skip_on_cran() to avoid failures
  on systems where Torch is not available.
  (Thanks to @dfalbel for the PR.)

• Regenerated documentation (RoxygenNote: 7.3.3) and updated man pages.

• Minor internal consistency fixes and CI checks update.

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")
    
  • Accelerated Failure Time ("aft")
• Cross-validation with cv_survdnn().
• Hyperparameter tuning with tune_survdnn().
• Survival probability prediction and curve plotting.
• Evaluation metrics: Concordance index (C-index), Brier score, and Integrated Brier Score (IBS).

CRAN submission prepared. Includes README, documentation, and automated tests.