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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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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