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CoxICPen  

Variable Selection for Cox's Model with Interval-Censored Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CoxICPen", "1.1.0")



Attach the package and use:
library("CoxICPen")
Maintained by
Qiwei Wu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-17
Latest Update: 2021-02-23
Description:
Perform variable selection for Cox regression model with interval-censored data. Can deal with both low-dimensional and high-dimensional data. Case-cohort design can be incorporated. Two sets of covariates scenario can also be considered. The references are listed in the URL below.
How to cite:
Qiwei Wu (2021). CoxICPen: Variable Selection for Cox's Model with Interval-Censored Data. R package version 1.1.0, https://cran.r-project.org/web/packages/CoxICPen. Accessed 09 Mar. 2026.
Previous versions and publish date:
1.0.0 (2021-02-17 19:10)
Other packages that cited CoxICPen R package
View CoxICPen citation profile
Other R packages that CoxICPen depends, imports, suggests or enhances
Complete documentation for CoxICPen
Functions, R codes and Examples using the CoxICPen R package
Some associated functions: CoxICPen.XZ . CoxICPen . 
Some associated R codes: Core_CoxICPen.R . Core_CoxICPen_XZ.R .  Full CoxICPen package functions and examples
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