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CSCNet
View on CRAN: Click
here
Download and install CSCNet package within the R console
Install from CRAN:
install.packages("CSCNet")
Install from Github:
library("remotes")
install_github("cran/CSCNet") Install by package version:
library("remotes")
install_version("CSCNet", "0.1.4") Attach the package and use:
library("CSCNet")
Maintained by
Shahin Roshani
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-08-16
Latest Update: 2022-11-08
Description:
Flexible tools to fit, tune and obtain absolute risk predictions from regularized cause-specific cox models with elastic-net penalty.
How to cite:
Shahin Roshani (2022). CSCNet: Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty. R package version 0.1.4, https://cran.r-project.org/web/packages/CSCNet. Accessed 15 Jul. 2026.
Previous versions and publish date:
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Other R packages that CSCNet depends,
imports, suggests or enhances
Complete documentation for CSCNet
Functions, R codes and Examples using
the CSCNet R package
Some associated functions: penCSC . predict.penCSC . predictRisk.penCSC . print.penCSC . print.tune_penCSC . tune_penCSC .
Some associated R codes: penCSC.R . predict.penCSC.R . predictRisk.penCSC.R . print.penCSC.R . print.tune_penCSC.R . tune_penCSC.R . Full CSCNet package functions and examples
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