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
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
Old sources: mldr archive

Reverse dependencies:

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

Linking:

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