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netcox  

Structural Learning in Cox Models with Time-Dependent Covariates
View on CRAN: Click here


Download and install netcox package within the R console
Install from CRAN:
install.packages("netcox")

Install from Github:
library("remotes")
install_github("cran/netcox")

Install by package version:
library("remotes")
install_version("netcox", "1.0.1")



Attach the package and use:
library("netcox")
Maintained by
Yi Lian
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-20
Latest Update:
Description:
Efficient procedures for fitting and cross-validating the overlapping group Lasso (implemented in C++) for Cox models with time-dependent covariates. The penalty term is a weighted sum of infinity norms of (overlapping) groups of coefficients, which can select variables structurally with a specific grouping structure.
How to cite:
Yi Lian (2023). netcox: Structural Learning in Cox Models with Time-Dependent Covariates. R package version 1.0.1, https://cran.r-project.org/web/packages/netcox. Accessed 05 Jun. 2026.
Previous versions and publish date:
1.0.1 (2023-02-27 10:42), 1.0 (2023-02-20 12:40)
Other packages that cited netcox R package
View netcox citation profile
Other R packages that netcox depends, imports, suggests or enhances
Functions, R codes and Examples using the netcox R package
Some associated functions: netcox-package . netcox . netcox_cv . plot_netcox_cv . plot_netcox_sp . sim . 
Some associated R codes: RcppExports.R . auxiliary_functions.R . datadoc.R . netcox-package.R . netcox.R . netcox_cv.R . plot_netcox_cv.R . plot_netcox_sp.R .  Full netcox package functions and examples
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