Package: PCLassoReg 1.0.0

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>.

Authors:Wei Liu [aut, cre]

PCLassoReg_1.0.0.tar.gz
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PCLassoReg.pdf |PCLassoReg.html✨
PCLassoReg/json (API)

# Install 'PCLassoReg' in R:
install.packages('PCLassoReg', repos = c('https://weiliu123.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/weiliu123/pclassoreg/issues

Datasets:

On CRAN:

Conda:

4.00 score 2 stars 1 scripts 234 downloads 5 exports 4 dependencies

Last updated from:14b575cc1a. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE177
source / vignettesOK192
linux-release-x86_64NOTE134
macos-release-arm64NOTE185
macos-oldrel-arm64NOTE169
windows-develNOTE137
windows-releaseNOTE104
windows-oldrelNOTE108
wasm-releaseOK98

Exports:cv.PCLassocv.PCLasso2getPCGroupsPCLassoPCLasso2

Dependencies:grpreglatticeMatrixsurvival

An introduction to PCLassoReg

Rendered fromPCLassoReg.Rmdusingknitr::rmarkdownon Apr 15 2026.

Last update: 2021-10-20
Started: 2021-10-20