CSCNet: Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty (original) (raw)
Flexible tools to fit, tune and obtain absolute risk predictions from regularized cause-specific cox models with elastic-net penalty.
| Version: | 0.1.2 |
|---|---|
| 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 (≥ 0.2.0), future (≥ 1.26.1), furrr (≥ 0.3.0) |
| Suggests: | knitr, rmarkdown |
| Published: | 2022-11-08 |
| DOI: | 10.32614/CRAN.package.CSCNet |
| Author: | Shahin Roshani  [aut, cre, cph] |
| Maintainer: | Shahin Roshani <s.roshani at nki.nl> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | CSCNet results |
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