The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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-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 form https://CRAN.R-project.org/package=PCLassoReg 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.
Health stats visible at Monitor.