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regnet

1.0.2

Network-Based Regularization for Generalized Linear Models

0packages depend
3.1Kdownloads / year
83.4%test coverage
12/13checks pass

Overview

About
Maintained by Jie RenFirst published 2017-05-218 releasesCRAN page ↗GitHub ↗

Network-based regularization has achieved success in variable selection for high-dimensional biological data due to its ability to incorporate correlations among genomic features. This package provides procedures of network-based variable selection for generalized linear models (Ren et al. (2017) doi:10.1186/s12863-017-0495-5 and Ren et al.(2019) doi:10.1002/gepi.22194). Continuous, binary, and survival response are supported. Robust network-based methods are available for continuous and survival responses.

Install

Health

CRAN checks
1NOTE12OK
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 4.4 min · r-devel-linux-x86_64-fedora-clang
Code health
Yes
Tests · ratio 0.44
83.4%
Coverage · measured lines
100%
Documentation · exports
5
Dependencies · direct
Check history
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 753 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
40%
Documented parameters
100%
Return-value docs
100%
References docs
43%

Downloads

3.1K
CRAN downloads in the past year
Rank #13,417 · ~8/day · ~258/mo
Daily download trend is not available in this view yet.
23130 days
76490 days
3.1K1 year
Compare downloads with other packages →
Also on414 r2u1 autocran34 c2d4u

Repository

Repository
4Stars
4Forks
0Open issues
0Open PRs
0Releases
96Commits
4Contributors
networkpenalized-regressionlogistic-regressionregularizationr-packagesurvivalcancer-prognosis
96 commits · Last activity 2026-05-25

Stars over time

2019-06-10 · 42026-07-07 · 4

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/jrhub/regnet on 2026-07-31.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
revdep/CRAN-SUBMISSION
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
Show all practices
Coverage (1)
Codecov
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.0.0
Imports (5)
LinkingTo (2)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (6)
Maintainer (1)
Author, Maintainer
Authors (6)
Author, Maintainer
Author
Author · added in 0.1.1
Author
Listed in earlier versions (1)
no longer listed · 1.0.2
Package Timeline

8 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.2Latest
    2025-02-10 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1
    2024-02-22 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0
    2022-08-18 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.4.0
    2019-06-08 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.3.0
    2018-05-22 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.2.0
    2017-10-15 · diff ↗
  • 0.1.1
    2017-05-24 · diff ↗
Show 2 earlier events
  • 0.1.0
    2017-05-21
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-05-21
Total releases
8 / 9 yrs
License
GPL-2 OSI
Minimum R
≥ 4.0.0
Bundled data
2.4 MB / 4 files
Download size
2.4 MB
Installed size
not tracked yet
With dependencies
not tracked yet
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