Exploratory Data Analysis and Manipulation of Multi-Label Data Sets
Overview
Exploratory data analysis and manipulation functions for multi- label data sets along with an interactive Shiny application to ease their use.
Install
Health
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.
- NOTE13 NOTENow
- NOTE14 NOTE2026-03-10
Documentation
- 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
Repository
- 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
Forks over time
Releases over time
Issues over time
PRs over time
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.
GitHub Pages site last deployed 2018-02-05
Dependencies
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.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.4.3Latest
- RR 3.6.0 released · 2019-04-26
- 0.4.22019-01-28 · diff ↗
- 0.4.12019-01-16 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 0.4.02018-02-04 · 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 - RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 0.3.222016-01-16 · diff ↗
Show 8 earlier eventsHide 8 earlier events
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.
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.