Package: r-cran-themis
Version: 1.0.3-2
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 494
Depends: r-api-4.0, r-cran-recipes (>= 1.1.0), r-cran-cli, r-cran-gower, r-cran-lifecycle (>= 1.0.3), r-cran-dplyr, r-cran-generics (>= 0.1.0), r-cran-purrr, r-cran-rann, r-cran-rlang (>= 1.1.0), r-cran-rose, r-cran-tibble, r-cran-withr, r-cran-glue, r-cran-hardhat, r-cran-vctrs
Recommends: r-cran-covr, r-cran-dials (>= 1.2.0), r-cran-ggplot2, r-cran-modeldata, r-cran-testthat (>= 3.0.0)
Section: gnu-r
Priority: optional
Homepage: https://cran.r-project.org/package=themis
Description: GNU R extra recipes steps for dealing with unbalanced data
 A dataset with an uneven number of cases in each
 class is said to be unbalanced. Many models produce a subpar
 performance on unbalanced datasets. A dataset can be balanced by
 increasing the number of minority cases using SMOTE 2011
 <arXiv:1106.1813>, BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and
 ADASYN 2008 <https://ieeexplore.ieee.org/document/4633969>. Or by
 decreasing the number of majority cases using NearMiss 2003
 <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek
 link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.
