Source: r-cran-themis
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 14),
 dh-r,
 r-base-dev,
 r-cran-recipes (>= 1.1.0),
 r-cran-cli,
 r-cran-dplyr,
 r-cran-generics,
 r-cran-glue,
 r-cran-gower,
 r-cran-hardhat,
 r-cran-lifecycle,
 r-cran-purrr,
 r-cran-rann,
 r-cran-rlang (>= 1.1.0),
 r-cran-rose,
 r-cran-tibble,
 r-cran-vctrs,
 r-cran-withr,
 r-pkg-team-core-architecture,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-themis
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-themis.git
Homepage: https://cran.r-project.org/package=themis

Package: r-cran-themis
Architecture: all
Depends:
 ${R:Depends},
 ${misc:Depends},
 r-pkg-team-core-architecture,
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: 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 <doi:10.48550/arXiv.1106.1813>,
 BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008.
 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.