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CSCNet: Fitting and Tuning Regularized Cause-Specific Cox Models withElastic-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 RoshaniORCID 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.html ,CSCNet.pdf
Vignettes:CSCNet vignette (source,R code)

Downloads:

Package source: CSCNet_0.1.2.tar.gz
Windows binaries: r-devel:CSCNet_0.1.2.zip, r-release:CSCNet_0.1.2.zip, r-oldrel:CSCNet_0.1.2.zip
macOS binaries: r-release (arm64):CSCNet_0.1.2.tgz, r-oldrel (arm64):CSCNet_0.1.2.tgz, r-release (x86_64):CSCNet_0.1.2.tgz, r-oldrel (x86_64):CSCNet_0.1.2.tgz
Old sources: CSCNet archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=CSCNetto link to this page.


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