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: 0.1.1
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: 2022-10-06
Author: Shahin Roshani ORCID iD [aut, cre, cph]
Maintainer: Shahin Roshani <s.roshani at nki.nl>
License: GPL (≥ 3)
NeedsCompilation: no
Materials: README NEWS
CRAN checks: CSCNet results

Documentation:

Reference manual: CSCNet.pdf
Vignettes: CSCNet vignette

Downloads:

Package source: CSCNet_0.1.1.tar.gz
Windows binaries: r-devel: CSCNet_0.1.1.zip, r-release: CSCNet_0.1.0.zip, r-oldrel: CSCNet_0.1.0.zip
macOS binaries: r-release (arm64): CSCNet_0.1.0.tgz, r-oldrel (arm64): CSCNet_0.1.0.tgz, r-release (x86_64): CSCNet_0.1.0.tgz, r-oldrel (x86_64): CSCNet_0.1.0.tgz
Old sources: CSCNet archive

Linking:

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