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survdnn  

Deep Neural Networks for Survival Analysis with R 'torch'
View on CRAN: Click here


Download and install survdnn package within the R console
Install from CRAN:
install.packages("survdnn")

Install from Github:
library("remotes")
install_github("cran/survdnn")

Install by package version:
library("remotes")
install_version("survdnn", "1.0.0")



Attach the package and use:
library("survdnn")
Maintained by
Imad EL BADISY
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-22
Latest Update: 2025-07-22
Description:
Provides deep learning models for right-censored survival data using the 'torch' backend. Supports multiple loss functions, including Cox partial likelihood, L2-penalized Cox, time-dependent Cox, and accelerated failure time (AFT) loss. Offers a formula-based interface, built-in support for cross-validation, hyperparameter tuning, survival curve plotting, and evaluation metrics such as the C-index, Brier score, and integrated Brier score. For methodological details, see Kvamme et al. (2019) <https://www.jmlr.org/papers/v20/18-424.html>.
How to cite:
Imad EL BADISY (2025). survdnn: Deep Neural Networks for Survival Analysis with R 'torch'. R package version 1.0.0, https://cran.r-project.org/web/packages/survdnn. Accessed 08 Oct. 2026.
Previous versions and publish date:
(2026-08-22 17:50), 0.6.0 (2025-07-22 13:11), 0.6.3 (2025-10-30 14:50), 0.7.0 (2025-12-23 09:10), 0.7.5 (2026-01-08 04:50), 0.7.6 (2026-04-29 08:40)
Other packages that cited survdnn R package
View survdnn citation profile
Other R packages that survdnn depends, imports, suggests or enhances
Complete documentation for survdnn
Functions, R codes and Examples using the survdnn R package
Full survdnn package functions and examples
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