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mldr.resampling needs mldr, which CRAN will archive unless its check problems are fixed by Nov 2.

mldr.resampling

0.2.3Package record

Resampling Algorithms for Multi-Label Datasets

0packages depend
2.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Collection of the state of the art multi-label resampling algorithms. The objective of these algorithms is to achieve balance in multi-label datasets.

Install

Health

CRAN checks
13OK
Slowest check: 1.2 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • WARNING12 OK, 1 WARNING2026-06-07
Show 1 earlier changeHide 1 earlier change
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.2.3
READMEYes · 104 wordsVignettesNoNEWSYes · 67% structured · does not mention 0.2.3Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
32
Examples that run
89%8 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
60%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.5K
CRAN downloads in the past year
Rank #19,882 · ~7/day · ~207/mo
Daily download trend is not available in this view yet.
23530 days
67090 days
2.5K1 year
Compare downloads with other packages →
Also on68 r2u3 autocran

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing mldr.resampling adds 42 packages (24 with compiled code, 40 MB of source tarballs). Heaviest: data.table 5.7 MB, bslib 5.6 MB, promises 3.1 MB.

Depends (0)
none
LinkingTo (0)
none
Suggests (1)
parallel
Enhances (0)
none
Dependencies facing archival

CRAN will archive these unless their check problems are fixed by the date shown. This package needs each one to install.

Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Maintainer since 0.2 (2023)
Author · added in 0.2.2
Releases (4)

Pick two releases to compare their code metrics.

  • 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
  • 0.2.3Latest
    record
    2023-08-22 · current release · diff ↗
  • 0.2.2
    record
    2023-06-16 · diff ↗
  • 0.2.1
    record
    2023-05-11 · diff ↗
  • 0.2
    record
    2023-04-21
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-04-21
Total releases
4 / 3 yrs
License
MIT + file LICENSE OSI
Download size
20 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mldr.resampling")
Dávila, M. Á., Charte, F., Del Jesus, M. J., & Rivera, A. (2023). mldr.resampling: Resampling Algorithms for Multi-Label Datasets (Version 0.2.3) [Computer software]. https://doi.org/10.32614/CRAN.package.mldr.resampling

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 mldr.resampling version 0.2.3 [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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