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PCLassoReg: Group Regression Models for Risk Protein Complex Identification

Two protein complex-based group regression models (PCLasso and PCLasso2) for risk protein complex identification. PCLasso is a prognostic model that identifies risk protein complexes associated with survival. PCLasso2 is a classification model that identifies risk protein complexes associated with classes. For more information, see Wang and Liu (2021) <doi:10.1093/bib/bbab212>.

Version:1.0.0
Depends:R (≥ 3.5.0)
Imports:survival,grpreg
Suggests:rmarkdown,knitr
Published:2021-10-26
DOI:10.32614/CRAN.package.PCLassoReg
Author:Wei LiuORCID iD [aut, cre]
Maintainer:Wei Liu <freelw at qq.com>
BugReports:https://github.com/weiliu123/PCLassoReg/issues
License:GPL-3
URL:https://github.com/weiliu123/PCLassoReg
NeedsCompilation:no
Materials:README
CRAN checks:PCLassoReg results

Documentation:

Reference manual:PCLassoReg.html ,PCLassoReg.pdf
Vignettes:PCLassoReg (source,R code)

Downloads:

Package source: PCLassoReg_1.0.0.tar.gz
Windows binaries: r-devel:PCLassoReg_1.0.0.zip, r-release:PCLassoReg_1.0.0.zip, r-oldrel:PCLassoReg_1.0.0.zip
macOS binaries: r-release (arm64):PCLassoReg_1.0.0.tgz, r-oldrel (arm64):PCLassoReg_1.0.0.tgz, r-release (x86_64):PCLassoReg_1.0.0.tgz, r-oldrel (x86_64):PCLassoReg_1.0.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=PCLassoRegto link to this page.


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