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CoxICPen: Variable Selection for Cox's Model with Interval-Censored Data

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.

Version: 1.1.0
Imports: foreach
Published: 2021-02-23
DOI: 10.32614/CRAN.package.CoxICPen
Author: Qiwei Wu [aut, cre], Hui Zhao [aut], Jianguo Sun [aut]
Maintainer: Qiwei Wu <qw235 at mail.missouri.edu>
License: Apache License (≥ 2)
URL: https://doi.org/10.1080/01621459.2018.1537922, https://doi.org/10.1002/sim.8594, https://doi.org/10.1002/bimj.201900180
NeedsCompilation: no
CRAN checks: CoxICPen results

Documentation:

Reference manual: CoxICPen.pdf

Downloads:

Package source: CoxICPen_1.1.0.tar.gz
Windows binaries: r-devel: CoxICPen_1.1.0.zip, r-release: CoxICPen_1.1.0.zip, r-oldrel: CoxICPen_1.1.0.zip
macOS binaries: r-release (arm64): CoxICPen_1.1.0.tgz, r-oldrel (arm64): CoxICPen_1.1.0.tgz, r-release (x86_64): CoxICPen_1.1.0.tgz, r-oldrel (x86_64): CoxICPen_1.1.0.tgz
Old sources: CoxICPen archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CoxICPen to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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