Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty R package CSCNet version 0.1.4 Flexible tools to fit, tune and obtain absolute risk predictions from regularized cause-specific cox models with elastic-net penalty. Software Depends: R (>= 2.10), tidyverse (>= 1.3.1), magrittr (>= 2.0.3) Imports: dplyr (>= 1.0.9), purrr (>= 0.3.4), stringr (>= 1.4.0), tibble (>= 3.1.7), survival (>= 3.3-1), prodlim (>= 2019.11.13), riskRegression (>= 2022.03.22), glmnet (>= 4.1-4), caret (>= 6.0-92), recipes (>= 1.3.1), parallelly (>= 1.46.0), future (>= 1.26.1), furrr (>= 0.3.0) Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Shahin Roshani <s.roshani@nki.nl> Comprehensive R Archive Network (CRAN) Shahin Roshani [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-7518-157X>) GPL (>= 3) 2026-01-20 application/tgz https://CRAN.R-project.org/package=CSCNet doi:10.32614/CRAN.package.CSCNet