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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 [cre], Francisco Charte [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 |
Reference manual: | mldr.pdf |
Vignettes: |
Working with Multilabel Datasets in R: The mldr Package |
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 depends: | utiml |
Reverse imports: | mldr.resampling |
Reverse suggests: | mldr.datasets, mlr |
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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.
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