Package: survdnn
Title: Deep Neural Networks for Survival Analysis with R 'torch'
Version: 0.7.6
Authors@R: 
    person(given = "Imad", 
           family = "EL BADISY", 
           email = "elbadisyimad@gmail.com", 
           role = c("aut", "cre"))
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>.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: torch, survival, stats, utils, tibble, dplyr, purrr, tidyr,
        ggplot2, methods, rsample, cli, glue
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
RoxygenNote: 7.3.3
Config/testthat/edition: 3
BugReports: https://github.com/ielbadisy/survdnn/issues
URL: https://github.com/ielbadisy/survdnn
NeedsCompilation: no
Packaged: 2026-04-28 17:59:32 UTC; imad-el-badisy
Author: Imad EL BADISY [aut, cre]
Maintainer: Imad EL BADISY <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-29 06:40:13 UTC
Built: R 4.5.2; ; 2026-04-29 10:49:28 UTC; unix
