Package: survdnn
Title: Deep Neural Networks for Survival Analysis with R 'torch'
Version: 1.0.0
Authors@R: c(
    person(given = "Imad",
           family = "El Badisy",
           email = "elbadisyimad@gmail.com",
           role = c("aut", "cre")),
    person(given = "Daniel",
           family = "Falbel",
           role = "ctb")
    )
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>.
    The package is described in El Badisy (2026) <doi:10.32614/RJ-2026-008>.
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://CRAN.R-project.org/package=survdnn
NeedsCompilation: no
Packaged: 2026-08-21 15:02:22 UTC; imad-el-badisy
Author: Imad El Badisy [aut, cre],
  Daniel Falbel [ctb]
Maintainer: Imad El Badisy <elbadisyimad@gmail.com>
Repository: CRAN
Date/Publication: 2026-08-22 15:50:07 UTC
