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PCLassoReg

1.0.0

Group Regression Models for Risk Protein Complex Identification

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2.2Kdownloads / year
test coverage
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Overview

About
Maintained by Wei LiuFirst published 2021-10-261 releasesCRAN page ↗GitHub ↗

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.

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CRAN checks
2NOTE11OK
Failing flavors
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Tests · ratio 0.00
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Coverage
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Documentation · exports
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Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 161 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
29%

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Repository

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14 commits · Last activity 2021-10-25 · 0% stars, 30d

Stars over time

2022-01-06 · 12026-07-07 · 2

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/weiliu123/pclassoreg on 2026-07-19.

Docs source (1)
README.Rmd
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RStudio project
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Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (2)
survivalgrpreg
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none
Suggests (2)
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none
Reverse dependencies
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Code & Tests

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Maintainer (1)
Author, Maintainer
Authors (1)
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Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2021-10-26
Total releases
1 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 3.5.0
Bundled data
766 KB / 3 files
Download size
826 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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