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CSCNet  

Fitting and Tuning Regularized Cause-Specific Cox Models with Elastic-Net Penalty
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", "0.1.2")



Attach the package and use:
library("CSCNet")
Maintained by
Shahin Roshani
[Scholar Profile | Author Map]
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 0.1.2, https://cran.r-project.org/web/packages/CSCNet. Accessed 05 May. 2025.
Previous versions and publish date:
0.1.0 (2022-08-16 11:20), 0.1.1 (2022-10-06 13:40)
Other packages that cited CSCNet R package
View CSCNet citation profile
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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