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mldr: Exploratory Data Analysis and Manipulation of Multi-Label Data Sets

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

Version: 0.4.3
Depends: R (≥ 3.0.0)
Imports: shiny (≥ 0.11), XML, circlize, graphics, grDevices, stats, methods
Suggests: pROC, knitr, mldr.datasets, testthat
Published: 2019-12-19
DOI: 10.32614/CRAN.package.mldr
Author: David Charte ORCID iD [cre], Francisco Charte ORCID iD [aut], Antonio J. Rivera [aut]
Maintainer: David Charte <fdavidcl at ugr.es>
License: LGPL (≥ 3) | file LICENSE
URL: https://github.com/fcharte/mldr
NeedsCompilation: no
Citation: mldr citation info
Materials: README
CRAN checks: mldr results

Documentation:

Reference manual: mldr.pdf
Vignettes: Working with Multilabel Datasets in R: The mldr Package

Downloads:

Package source: mldr_0.4.3.tar.gz
Windows binaries: r-devel: mldr_0.4.3.zip, r-release: mldr_0.4.3.zip, r-oldrel: mldr_0.4.3.zip
macOS binaries: r-release (arm64): mldr_0.4.3.tgz, r-oldrel (arm64): mldr_0.4.3.tgz, r-release (x86_64): mldr_0.4.3.tgz, r-oldrel (x86_64): mldr_0.4.3.tgz
Old sources: mldr archive

Reverse dependencies:

Reverse depends: utiml
Reverse imports: mldr.resampling
Reverse suggests: mldr.datasets, mlr

Linking:

Please use the canonical form https://CRAN.R-project.org/package=mldr to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.