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CSCNet: Fitting and Tuning Regularized Cause-Specific Cox Models with
Elastic-Net Penalty
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 |
Documentation:
Downloads:
Linking:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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