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Exploratory Data Analysis and Manipulation of Multi-Label Data Sets

1packages dependsuggested by 2
38.4Kdownloads / year
6.2%test coverage
0/13flavors OK

Overview

About

Exploratory data analysis and manipulation functions for multi- label data sets along with an interactive Shiny application to ease their use.

Install

Health

CRAN checks
13NOTE
Check messages
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) mldrGUI.Rd:22-25: Lost braces in \itemize; meant \describe ?
checkRd: (-1) mldrGUI.Rd:26-28: Lost braces in \itemize; meant \describe ?
checkRd: (-1) mldrGUI.Rd:29: Lost braces in \itemize; meant \describe ?
checkRd: (-1) mldrGUI.Rd:30-31: Lost braces in \itemize; meant \describe ?
checkRd: (-1) mldrGUI.Rd:32-34: Lost braces in \itemize; meant \describe ?
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘David Charte <fdavidcl@ugr.es>’

Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.

CRAN check page ↗

Slowest check: 30.0 min · r-oldrel-windows-x86_64
Status changes
  • NOTE13 NOTENow
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.4.3
READMEYes · 150 wordsVignettesYes · 1 · dynamicNEWS· In the repository, left out of the releaseCitation fileYes · cites a publication
Help pages
24
Examples that run
85%17 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
Exported functions with examples
87%
Documented parameters
96%
Return-value docs
93%
Help pages citing references
0%

Also includes 3 demo scripts (run with demo())

Downloads

38.4K
CRAN downloads in the past year
Rank #2,528 · ~105/day · ~3.2K/mo
Daily download trend is not available in this view yet.
2.2K30 days
6.4K90 days
38.4K1 year
Compare downloads with other packages →
Also on129 r2u8 autocran

Repository

24Stars
8Forks
5Open issues
0Open PRs
7Releases
381Commits
2Commit identities
License file reads as LGPL-3.0 · 381 commits · Last activity 2019-12-10 · 0% stars, 30d · The default branch showed an older version (0.4.2) than CRAN on 2026-10-22
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
4
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-02-19 · 232026-07-07 · 24
PracticesBeta

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

Checks run against github.com/fcharte/mldr on 2026-10-22.

Continuous integration (1)
Travis CI (config file)
Docs source (1)

GitHub Pages site last deployed 2018-02-05

CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing mldr adds 35 packages (21 with compiled code, 32 MB of source tarballs). Heaviest: bslib 5.6 MB, promises 3.1 MB, sass 2.9 MB.

Depends (1)
R >= 3.0.0
Imports (7)
shinyXMLcirclizegraphicsgrDevicesstatsmethods
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Suggested by 2
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (3)
Maintainer since 0.1.70 (2015)
Author · added in 0.4.1
Releases (11)

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
  • R
    R 4.3.0 released · 2023-04-21
  • 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
  • 0.4.3Latest
    record
    2019-12-19 · current release · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.4.2
    record
    2019-01-28 · diff ↗
  • 0.4.1
    record
    2019-01-16 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.4.0
    record
    2018-02-04 · diff ↗ ·
    added 21 exports
    accuracy, average_precision, coverage, example_auc, fmeasure, hamming_loss, macro_auc, macro_fmeasure, macro_precision, macro_recall, micro_auc, micro_fmeasure, micro_precision, micro_recall, mldr_to_labels, one_error, precision, ranking_loss, recall, roc, subset_accuracy
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 0.3.22
    record
    2016-01-16 · diff ↗
Show 8 earlier eventsHide 8 earlier events
  • 0.3.18
    record
    2015-12-05 · diff ↗ ·
    added 1 export
    read.arff
  • 0.2.82
    record
    2015-10-18 · diff ↗ ·
    added 3 exports
    concurrenceReport, labelInteractions, remedial
  • 0.2.51
    record
    2015-09-16 · diff ↗
  • 0.2.33
    record
    2015-07-18 · diff ↗
  • 0.2.25
    record
    2015-07-03 · diff ↗ ·
    added 1 export
    mldr_evaluate
  • R
    R 3.2.0 released · 2015-04-16
  • 0.1.70
    record
    2015-02-13
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2015-02-13
Total releases
11 / 11 yrs
License
LGPL (>= 3) | file LICENSE OSI
Minimum R
≥ 3.0.0
Bundled data
521 KB / 3 files
Download size
1.5 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("mldr")

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 mldr version 0.4.3 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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