The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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.

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.