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Implementations of Semi-Supervised Learning Approaches for Classification

0packages depend
4.2Kdownloads / year
70.0%test coverage
13/13flavors OK

Overview

About

A collection of implementations of semi-supervised classifiers and methods to evaluate their performance. The package includes implementations of, among others, Implicitly Constrained Learning, Moment Constrained Learning, the Transductive SVM, Manifold regularization, Maximum Contrastive Pessimistic Likelihood estimation, S4VM and WellSVM.

Install

Health

CRAN checks
13OK
Slowest check: 6.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 4 earlier changesHide 4 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.9.8
READMEYes · 221 wordsVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
105 (1 internal)includes a package overview page
Examples that run
100%24 run in a plain check
Exported functions with examples
35%
Documented parameters
99%
Return-value docs
33%
Help pages citing references
20%

Downloads

4.2K
CRAN downloads in the past year
Rank #7,154 · ~12/day · ~350/mo
Daily download trend is not available in this view yet.
43130 days
1.2K90 days
4.2K1 year
Compare downloads with other packages →
Also on364 r2u6 autocran

Repository

61Stars
14Forks
0Open issues
1Open PRs
1Releases
276Commits
2Commit identities
276 commits · Last activity 2025-10-21 · +1.7% stars, 30d
Responsiveness
How these are sampled
PRs merged (all time)
50%
Median days to close, 50 most recently updated closed issues
21
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2024-02-11 · 582026-10-14 · 61
PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/jkrijthe/rssl on 2026-10-22.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
Coverage (1)
Coverage reporting (Codecov)
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing RSSL adds 35 packages (21 with compiled code, 33 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (1)
R >= 2.10.0
Imports (12)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.6 (2016)
Releases (11)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.9.8Latest
    record
    2025-10-21 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.9.7
    record
    2023-12-07 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.9.6
    record
    2023-03-14 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.9.5
    record
    2022-01-17 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.9.3
    record
    2020-11-13 · diff ↗
  • 0.9.2
    record
    2020-09-12 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.9.1
    record
    2020-02-04 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.8
    record
    2019-03-08 · diff ↗
Show 6 earlier eventsHide 6 earlier events
  • 0.7
    record
    2018-07-12 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 0.6.1
    record
    2016-10-06 · diff ↗
  • 0.6
    record
    2016-09-15
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-09-15
Total releases
11 / 10 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10.0
Bundled data
902 KB / 4 files
Download size
1.1 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("RSSL")

The package provides a citation file, so citation() returns the authors' own entry.

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 RSSL version 0.9.8 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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