Package: mldr.resampling Title: Resampling Algorithms for Multi-Label Datasets Version: 0.2.3 Authors@R: c( person("Miguel Ángel", "Dávila", email = "madr0008@red.ujaen.es", role = "cre"), person("Francisco", "Charte", email = "fcharte@ujaen.es", role = "aut", comment = c(ORCID = "0000-0002-3083-8942")), person("María José", "Del Jesus", email = "mjjesus@ujaen.es", role = "aut", comment = c(ORCID = "0000-0002-7891-3059")), person("Antonio", "Rivera", email = "arivera@ujaen.es", role = "aut", comment = c(ORCID = "0000-0002-1062-3127")) ) Description: Collection of the state of the art multi-label resampling algorithms. The objective of these algorithms is to achieve balance in multi-label datasets. License: MIT + file LICENSE Encoding: UTF-8 Roxygen: list(markdown = TRUE) RoxygenNote: 7.2.3 Imports: data.table, e1071, mldr, pbapply, vecsets Suggests: parallel Config/pak/sysreqs: cmake make libuv1-dev libxml2-dev zlib1g-dev Repository: https://madr0008.r-universe.dev Date/Publication: 2023-09-21 10:58:58 UTC RemoteUrl: https://github.com/madr0008/mldr.resampling RemoteRef: HEAD RemoteSha: 93aa29ad60dea8078390c85e5d57b2cee376b048 NeedsCompilation: no Packaged: 2026-10-10 08:56:02 UTC; root Author: Miguel Ángel Dávila [cre], Francisco Charte [aut] (ORCID: ), María José Del Jesus [aut] (ORCID: ), Antonio Rivera [aut] (ORCID: ) Maintainer: Miguel Ángel Dávila