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s2net

1.0.7

The Generalized Semi-Supervised Elastic-Net

0packages depend
2.6Kdownloads / year
44.8%test coverage
13/13checks pass

Overview

About
Maintained by Juan C. LariaFirst published 2020-01-134 releasesCRAN page ↗GitHub ↗

Implements the generalized semi-supervised elastic-net. This method extends the supervised elastic-net problem, and thus it is a practical solution to the problem of feature selection in semi-supervised contexts. Its mathematical formulation is presented from a general perspective, covering a wide range of models. We focus on linear and logistic responses, but the implementation could be easily extended to other losses in generalized linear models. We develop a flexible and fast implementation, written in 'C++' using 'RcppArmadillo' and integrated into R via 'Rcpp' modules. See Culp, M. 2013 doi:10.1080/10618600.2012.657139 for references on the Joint Trained Elastic-Net.

Install

Health

CRAN checks
13OK
Slowest check: 3.1 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.07
44.8%
Coverage · measured lines
4
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-22
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 357 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
100%

Downloads

2.6K
CRAN downloads in the past year
Rank #16,783 · ~7/day · ~214/mo
Daily download trend is not available in this view yet.
14930 days
63590 days
2.6K1 year
Compare downloads with other packages →
Also on363 r2u21 autocran

Repository

Repository
5Stars
1Forks
0Open issues
0Open PRs
1Releases
45Commits
1Contributors
45 commits · Last activity 2024-03-07

Stars over time

2023-08-01 · 52026-07-07 · 5

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/jlaria/s2net on 2026-08-16.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (2)
data-raw/Dev Container
CRAN release process (1)
cran-comments.md
Docs source (1)
README.Rmd
Show all practices
Lint, format, editor (2)
VS CodeRStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
stats
Imports (3)
RcppmethodsMASS
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

4 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
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.7Latest
    2024-03-31 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.4
    2022-06-30 · 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
  • 1.0.1
    2020-01-16 · diff ↗
  • 1.0
    2020-01-13
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-01-13
Total releases
4 / 6 yrs
License
GPL (>= 2) OSI
Bundled data
8.0 KB / 1 file
Download size
178 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("s2net")
Laria, J. C., & Clemmensen, L. H. (2024). s2net: The Generalized Semi-Supervised Elastic-Net (Version 1.0.7) [Computer software]. https://doi.org/10.32614/CRAN.package.s2net

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for s2net version 1.0.7 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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