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]

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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'))

Peer review:

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

Datasets:

On CRAN:

5 exports 1 stars 0.73 score 4 dependencies 1 scripts 139 downloads

Last updated 3 years agofrom:14b575cc1a. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 21 2024
R-4.5-winNOTEAug 21 2024
R-4.5-linuxNOTEAug 21 2024
R-4.4-winNOTEAug 21 2024
R-4.4-macNOTEAug 21 2024
R-4.3-winNOTEAug 21 2024
R-4.3-macNOTEAug 21 2024

Exports:cv.PCLassocv.PCLasso2getPCGroupsPCLassoPCLasso2

Dependencies:grpreglatticeMatrixsurvival

An introduction to PCLassoReg

Rendered fromPCLassoReg.Rmdusingknitr::rmarkdownon Aug 21 2024.

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