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
Author: Wei Liu ORCID 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.pdf
Vignettes: PCLassoReg

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-release (x86_64): PCLassoReg_1.0.0.tgz, r-oldrel: PCLassoReg_1.0.0.tgz

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