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joinet

1.0.0

Penalised Multivariate Regression ('Multi-Target Learning')

1packages depend
4.3Kdownloads / year
32.6%test coverage
13/13checks pass

Overview

About
Maintained by Armin RauschenbergerFirst published 2019-08-0310 releasesCRAN page ↗GitHub ↗

Implements penalised multivariate regression (i.e., for multiple outcomes and many features) by stacked generalisation (doi:10.1093/bioinformatics/btab576). For positively correlated outcomes, a single multivariate regression is typically more predictive than multiple univariate regressions. Includes functions for model fitting, extracting coefficients, outcome prediction, and performance measurement. For optional comparisons, install 'remMap' from GitHub (https://github.com/cran/remMap).

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.08
32.6%
Coverage · measured lines
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 189 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
33%

Downloads

4.3K
CRAN downloads in the past year
Rank #9,741 · ~12/day · ~356/mo
Daily download trend is not available in this view yet.
26230 days
98190 days
4.3K1 year
Compare downloads with other packages →
Also on122 r2u18 autocran54 c2d4u

Repository

Repository
4Stars
3Forks
0Open issues
0Open PRs
0Releases
250Commits
4Contributors
License GPL-3.0 · 250 commits · Last activity 2024-09-27

Stars over time

2022-10-17 · 42026-07-07 · 4

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/rauschenberger/joinet on 2026-08-23.

Continuous integration (2)
GitHub ActionsAppVeyor
CRAN release process (1)
cran-comments.md
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.0.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

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

10 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
  • 1.0.0Latest
    2024-09-27 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.0.10
    2021-08-09 · diff ↗
  • 0.0.9
    2021-07-16 · diff ↗
  • 0.0.8
    2021-07-16 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.0.7
    2021-03-09 · diff ↗
  • 0.0.6
    2020-11-23 · diff ↗
  • unarchivedReturned to CRAN
    2020-11-23
  • archivedRemoved from CRAN
    2020-10-18
    check problems were not corrected in time
  • 0.0.5
    2020-10-03 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
Show 4 earlier events
  • 0.0.3
    2019-11-13 · diff ↗
  • 0.0.2
    2019-08-08 · diff ↗
  • 0.0.1
    2019-08-03
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-08-03
Total releases
10 / 7 yrs
License
GPL-3 OSI
Minimum R
≥ 3.0.0
Download size
64 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("joinet")
Rauschenberger, A. (2024). joinet: Penalised Multivariate Regression ('Multi-Target Learning') (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.joinet

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 joinet version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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